Projects funded by the NCN


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510 projects found matching your search criteria :

  1. 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

  2. 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

  3. Neurosymbolic Architectures for Unsupervised Learning of Explanatory Models

    Call: OPUS 29 , Panel: ST6

    Principal investigator: prof. Krzysztof Krawiec

    Politechnika Poznańska

  4. 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

  5. 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

  6. 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

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

    Call: PRELUDIUM 24 , Panel: ST10

    Principal investigator: Adam Emilian Kostrzewa

    Politechnika Warszawska

  8. 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

  9. 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

  10. 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

  11. High-Spatial Resolution Electrical Capacitance Tomography

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr Damian Mateusz Wanta

    Politechnika Warszawska

  12. Temporal Hierarchies for electricity pRIce ForecasTing (THRIFT)

    Call: OPUS 29 , Panel: HS4

    Principal investigator: prof. Rafał Weron

    Politechnika Wrocławska

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

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Piotr Borycki

    Uniwersytet Jagielloński

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

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

    Call: PRELUDIUM 24 , Panel: ST8

    Principal investigator: Tomasz Wiczenbach

    Politechnika Gdańska

  21. 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

  22. 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

  23. 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

  24. 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

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

    Call: PRELUDIUM 24 , Panel: ST4

    Principal investigator: Mikołaj Jan Martyka

    Uniwersytet Warszawski

  26. 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

  27. Advancing transformative governanCe through Transboundary conservation and collaborative learning

    Call: CEUS-UNISONO , Panel: NZ8

    Principal investigator: dr Kinga Krauze

    Europejskie Regionalne Centrum Ekohydrologii Polskiej Akademii Nauk

  28. Multimodal learning for medical image analysis

    Call: OPUS 29 , Panel: ST6

    Principal investigator: dr Szymon Stefan Płotka

    Uniwersytet Jagielloński

  29. 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

  30. 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

  31. 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

  32. Novel neural representations for ultrasound imaging

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr hab. Michał Byra

    Instytut Podstawowych Problemów Techniki Polska Akademia Nauk

  33. 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

  34. 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

  35. Multi-geomodal representation learning for geographic transfer learning

    Call: SONATA 20 , Panel: ST6

    Principal investigator: dr Piotr Szymański

    Politechnika Wrocławska

  36. 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

  37. 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

  38. 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

  39. 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

  40. Exploring new infrared phosphors aided by machine learning

    Call: SONATA 20 , Panel: ST3

    Principal investigator: dr Tadeusz Franciszek Leśniewski

    Uniwersytet Gdański

  41. [DeepSee] Deep learning single-shot in-line quantitative phase imaging

    Call: OPUS 28 , Panel: ST7

    Principal investigator: dr Maria Cywińska

    Politechnika Warszawska

  42. Design automation and simulation-driven optimization of high-frequency systems using machine learning

    Call: OPUS 28 , Panel: ST7

    Principal investigator: dr hab. Anna Pietrenko-Dąbrowska

    Politechnika Gdańska

  43. High-precision theoretical spectroscopy of core-excited and core-ionized electronic states

    Call: OPUS 28 , Panel: ST4

    Principal investigator: dr Wojciech Skomorowski

    Uniwersytet Warszawski

  44. Multimodal Geometric Deep Learning in Medical Image Analysis

    Call: SONATA 20 , Panel: ST6

    Principal investigator: dr Marek Michał Wodziński

    Sano - Centrum Zindywidualizowanej Medycyny Obliczeniowej - Międzynarodowa Fundacja Badawcza

  45. Calculus of variation for Machine Learning Problems

    Call: OPUS 28 , Panel: ST6

    Principal investigator: dr hab. Błażej Grzegorz Miasojedow

    Uniwersytet Warszawski

  46. GENIE-MRI: Generative Neural Networks for Image Exchange in breast MRI

    Call: SONATA 20 , Panel: ST6

    Principal investigator: dr Andrzej Liebert

    Instytut Podstaw Informatyki PAN

  47. CARET: Context-Aware Interpretation of Human Actions for Implementation in Assistive Robotics

    Call: SONATA 20 , Panel: ST7

    Principal investigator: dr Vibekananda Dutta

    Politechnika Warszawska

  48. Fetal alcohol spectrum disorders (FASD) in the honey bee (Apis mellifera L.): anatomical, physiological, and social cons...

    Call: OPUS 28 , Panel: NZ9

    Principal investigator: dr hab. Karolina Kuszewska

    Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie

  49. SWIFT – In-depth study of the sustainable conversion of organic waste fraction into bio-oils by fermentation technology ...

    Call: SONATA 20 , Panel: ST8

    Principal investigator: dr Anna Duber

    Politechnika Poznańska

  50. Effects of ketamine optical isomers on motivation and decision-making in rats using deep learning for behavioral analysi...

    Call: SONATA 20 , Panel: NZ7

    Principal investigator: dr Natalia Alicja Malikowska-Racia

    Instytut Farmakologii PAN