Projects funded by the NCN

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520 projects found matching your search criteria :

  1. Machine Learning Platform for Personalized Intravitreal Anti-VEGF Therapy Using Drug-Loaded Polymeric Nanoparticles

    Call: M-ERA.NET 3 Call 2025 , Panel: ST11

    Principal investigator: dr Marcin Krzysztof Heljak

    Politechnika Warszawska

  2. Harnessing deep learning for an understanding of RNA interactions with small molecules

    Call: SONATA BIS 15 , Panel: NZ1

    Principal investigator: dr Marcin Magnus

    Uniwersytet Warszawski

  3. Dynamic Quantum Crystallography and Machine Learning for Better Understanding Thermodynamic Stability and Solubility of ...

    Call: SONATA BIS 15 , Panel: ST4

    Principal investigator: dr hab. Anna Agnieszka Hoser

    Uniwersytet Warszawski

  4. Non-anechoic measurements: inexpensive, robust and portable system for accurate near- and far-field evaluation of antenn...

    Call: SONATA BIS 15 , Panel: ST7

    Principal investigator: prof. Adrian Kajetan Bekasiewicz

    Politechnika Gdańska

  5. Degradation of Lipids and Sterols in High-Temperature, Ozonated Environments - From Model Systems to Real Oils. Leveragi...

    Call: OPUS 29 , Panel: NZ9

    Principal investigator: prof. Małgorzata Anna Majcher

    Uniwersytet Przyrodniczy w Poznaniu

  6. Machine-learning a new generation of force fields for the atomistic simulations of RNA

    Call: OPUS 29 , Panel: ST4

    Principal investigator: dr Miłosz Wieczór

    Politechnika Gdańska

  7. Integrative analysis of tRNA modification circuits and aminoacylation and their role in breast cancer model.

    Call: OPUS 29 , Panel: NZ2

    Principal investigator: dr Marcin Sajek

    Instytut Genetyki Człowieka PAN

  8. Neurosymbolic Architectures for Unsupervised Learning of Explanatory Models

    Call: OPUS 29 , Panel: ST6

    Principal investigator: prof. Krzysztof Krawiec

    Politechnika Poznańska

  9. Study on Domain Adaptation in Neural Diagnostic Systems

    Call: PRELUDIUM 24 , Panel: ST8

    Principal investigator: Paweł Knap

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  10. Machine Learning Insights into the Heterogeneous Effect of Contouring Parameters on the Fatigue Life of Additively Manuf...

    Call: OPUS 29 , Panel: ST8

    Principal investigator: prof. Aleksander Gracjan Karolczuk

    Politechnika Opolska

  11. Estimating the probability of glioma recurrence and the time of its occurrence using metabolomics, proteomics, and machi...

    Call: PRELUDIUM 24 , Panel: NZ5

    Principal investigator: Adrian Godlewski

    Uniwersytet Medyczny w Białymstoku

  12. Historical Earth Research for Multitemporal Evolution Study by Remote Sensing technique (HERMES)

    Call: PRELUDIUM 24 , Panel: ST10

    Principal investigator: Adam Emilian Kostrzewa

    Politechnika Warszawska

  13. Context-Aware 3D Deep Learning for Individual Tree Inventory from Terrestrial LiDAR

    Call: PRELUDIUM 24 , Panel: ST10

    Principal investigator: Maksymilian Kulicki

    Akces Ncbr Spółka z Ograniczoną Odpowiedzialnością

  14. The effect of multimodal polyrhythmic training in VR on motor learning, flow experience, and skill transfer

    Call: PRELUDIUM 24 , Panel: HS6

    Principal investigator: Adam Bartłomiej Lewartowski

    Uniwersytet Mikołaja Kopernika

  15. Advanced mathematical models of selected Hall effect current sensor faults for non-invasive generation of learning patte...

    Call: PRELUDIUM 24 , Panel: ST7

    Principal investigator: Krystian Stefan Teler

    Politechnika Wrocławska

  16. Democratizing Diffusion Models: Guidance-Driven Optimization of Existing Models for Enhanced Quality and Diversity with ...

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Artur Kasymov

    Uniwersytet Jagielloński

  17. Local Causal Explainability of Machine Learning Models: Game-Theoretic Methods for Reliable Feature Attribution

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Mateusz Maciej Gajewski

    Politechnika Poznańska

  18. High-Spatial Resolution Electrical Capacitance Tomography

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr Damian Mateusz Wanta

    Politechnika Warszawska

  19. Temporal Hierarchies for electricity pRIce ForecasTing (THRIFT)

    Call: OPUS 29 , Panel: HS4

    Principal investigator: prof. Rafał Weron

    Politechnika Wrocławska

  20. Explanation of Pre-Trained deep learning models via Prototypes

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Piotr Borycki

    Uniwersytet Jagielloński

  21. Advancing Curriculum Learning: from adaptive learning objectives to Kolmogorov-Arnold Networks

    Call: OPUS 29 , Panel: ST6

    Principal investigator: dr hab. Mikołaj Aleksander Morzy

    Politechnika Poznańska

  22. Establishing a benchmarking platform for AI/ML predictive models for bioactivity and toxicity in agrochemistry.

    Call: OPUS 29 , Panel: ST4

    Principal investigator: dr hab. Paweł Aleksander Siedlecki

    Instytut Biochemii i Biofizyki PAN

  23. Development of a roughness model for drag prediction in minichannel flows using machine learning

    Call: OPUS 29 , Panel: ST8

    Principal investigator: prof. Włodzimierz Grzegorz Wróblewski

    Politechnika Śląska

  24. Answering unasked questions - digging transcriptomics data to identify transcriptional regulatory networks in Yarrowia l...

    Call: PRELUDIUM 24 , Panel: NZ9

    Principal investigator: Maria Elżbieta Gorczyca

    Uniwersytet Przyrodniczy w Poznaniu

  25. AIQala: The studies of Cultural, Socio-economic and Geographical Factors in the emergence of Fortified Settlements and i...

    Call: OPUS 29 , Panel: HS3

    Principal investigator: dr Nazarij Buławka

    Uniwersytet Warszawski

  26. Simulation of complex biological systems assisted by artificial intelligence: language-controlled model for cancer thera...

    Call: OPUS 29 , Panel: ST6

    Principal investigator: prof. Witold Dzwinel

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  27. Integration of multi-source remote sensing data for landslide precursor detection

    Call: PRELUDIUM 24 , Panel: ST10

    Principal investigator: Katarzyna Januchta

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  28. Why does it still hurt? The role of the classical conditioning learning mechanism in pain chronification.

    Call: OPUS 29 , Panel: HS6

    Principal investigator: Jakub Aleksander Nastaj

    Akademia Wychowania Fizycznego im. Jerzego Kukuczki w Katowicach

  29. Numerical Spines Research on Injury Severity Key-factors in Road Accidents nSPINE-RISK

    Call: PRELUDIUM 24 , Panel: ST8

    Principal investigator: Tomasz Wiczenbach

    Politechnika Gdańska

  30. Fungal Exosome-Like Nanovesicles as Modulators of Intestinal Barrier Function and Inflammatory Response: An Integrative ...

    Call: OPUS 29 , Panel: NZ3

    Principal investigator: prof. Anna Maria Witkowska

    Uniwersytet Medyczny w Białymstoku

  31. Identification of proteolytic cleavage sites in peptide substrates using coarse-grained docking and machine learning met...

    Call: OPUS 29 , Panel: NZ1

    Principal investigator: dr hab. Michał Koliński

    Instytut Medycyny Doświadczalnej i Klinicznej im. Mirosława Mossakowskiego PAN

  32. Improving hybrid classical-quantum optimization using machine learning techniques

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Justyna Jolanta Zawalska

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  33. Analysis of the multiphase transformations of secondary organic aerosols using machine learning

    Call: OPUS 29 , Panel: ST10

    Principal investigator: prof. Tomasz Jan Gierczak

    Uniwersytet Warszawski

  34. Towards accurate universal machine learning potentials for electronic excited-state simulations

    Call: PRELUDIUM 24 , Panel: ST4

    Principal investigator: Mikołaj Jan Martyka

    Uniwersytet Warszawski

  35. Advancing light-based imaging using Quantum Optical Coherence Tomography and Machine Learning

    Call: OPUS 29 , Panel: ST2

    Principal investigator: dr hab. Piotr Kolenderski

    Uniwersytet Mikołaja Kopernika

  36. Design-ready forward and inverse surrogate modeling of high-frequency structures using deep learning and dimensionality ...

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr hab. Anna Pietrenko-Dąbrowska

    Politechnika Gdańska

  37. Advancing transformative governanCe through Transboundary conservation and collaborative learning

    Call: BiodivTransform , Panel: NZ8

    Principal investigator: dr Kinga Krauze

    Europejskie Regionalne Centrum Ekohydrologii Polskiej Akademii Nauk

  38. Multimodal learning for medical image analysis

    Call: OPUS 29 , Panel: ST6

    Principal investigator: dr Szymon Stefan Płotka

    Uniwersytet Jagielloński

  39. Flow Boiling Heat Transfer in Annular and Rectangular Minichannels Using Machine Learning-Based Modeling

    Call: OPUS 29 , Panel: ST8

    Principal investigator: prof. Magdalena Janina Piasecka

    POLITECHNIKA ŚWIĘTOKRZYSKA

  40. Research on spatial-temporal dynamics of ice and water temperature in the Vistula River based on ground observations, sa...

    Call: PRELUDIUM 24 , Panel: ST10

    Principal investigator: Maksymilian Fukś

    Instytut Geografii i Przestrzennego Zagospodarowania im. S. Leszczyckiego PAN

  41. NMR Spectroscopy as Molecular Language: A Deep Learning Approach to Bioactivity Prediction

    Call: PRELUDIUM 24 , Panel: NZ7

    Principal investigator: Arkadiusz Bogumił Leniak

    Instytut Farmakologii PAN

  42. Novel neural representations for ultrasound imaging

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr hab. Michał Byra

    Instytut Podstawowych Problemów Techniki Polska Akademia Nauk

  43. Artificial intelligence in predicting treatment outcomes of abdominal cancers – implementation of machine learning and d...

    Call: SONATINA 9 , Panel: NZ7

    Principal investigator: dr Krzysztof Bartnik

    Politechnika Warszawska

  44. Deep learning enabled rapid dynamic optical coherence tomography for breast tumour margin assessment

    Call: SONATINA 9 , Panel: ST7

    Principal investigator: dr Matt Hepburn

    Uniwersytet Mikołaja Kopernika

  45. Multi-geomodal representation learning for geographic transfer learning

    Call: SONATA 20 , Panel: ST6

    Principal investigator: dr Piotr Szymański

    Politechnika Wrocławska

  46. Ultra-high-throughput multimodal single-microbe profiling to study microbiomes.

    Call: OPUS 28 , Panel: NZ6

    Principal investigator: dr Marcin Tabaka

    Instytut Chemii Fizycznej Polskiej Akademii Nauk

  47. Enhancing Housing Market Transparency through Artificial Intelligence and Big Data

    Call: OPUS 28 , Panel: HS4

    Principal investigator: dr hab. Radosław Trojanek

    Uniwersytet Ekonomiczny w Poznaniu

  48. A potter or a glacier? The influence of the source material on the spatial differentiation of ceramics production in the...

    Call: OPUS 28 , Panel: HS3

    Principal investigator: prof. Andrzej Michałowski

    Uniwersytet im. Adama Mickiewicza w Poznaniu

  49. Thermodynamic modeling combined with new measurement techniques of the physicochemistry of liquid-liquid equilibrium in ...

    Call: OPUS 28 , Panel: ST4

    Principal investigator: dr hab. Mirosław Adam Chorążewski

    UNIWERSYTET ŚLĄSKI

  50. Exploring new infrared phosphors aided by machine learning

    Call: SONATA 20 , Panel: ST3

    Principal investigator: dr Tadeusz Franciszek Leśniewski

    Uniwersytet Gdański

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