Projects funded by the NCN

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308 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. 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

  8. High-Spatial Resolution Electrical Capacitance Tomography

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr Damian Mateusz Wanta

    Politechnika Warszawska

  9. Temporal Hierarchies for electricity pRIce ForecasTing (THRIFT)

    Call: OPUS 29 , Panel: HS4

    Principal investigator: prof. Rafał Weron

    Politechnika Wrocławska

  10. 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

  11. 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

  12. 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

  13. 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

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

    Call: PRELUDIUM 24 , Panel: ST8

    Principal investigator: Tomasz Wiczenbach

    Politechnika Gdańska

  15. 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

  16. 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

  17. 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

  18. 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

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

    Call: PRELUDIUM 24 , Panel: ST4

    Principal investigator: Mikołaj Jan Martyka

    Uniwersytet Warszawski

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. Exploring new infrared phosphors aided by machine learning

    Call: SONATA 20 , Panel: ST3

    Principal investigator: dr Tadeusz Franciszek Leśniewski

    Uniwersytet Gdański

  29. 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

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

    Call: OPUS 28 , Panel: ST4

    Principal investigator: dr Wojciech Skomorowski

    Uniwersytet Warszawski

  31. Calculus of variation for Machine Learning Problems

    Call: OPUS 28 , Panel: ST6

    Principal investigator: dr hab. Błażej Grzegorz Miasojedow

    Uniwersytet Warszawski

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

    Call: SONATA 20 , Panel: ST7

    Principal investigator: dr Vibekananda Dutta

    Politechnika Warszawska

  33. 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

  34. 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

  35. From Static to Dynamic: Integrating Glycan Dynamics into Structural Biology

    Call: SONATA BIS 14 , Panel: NZ1

    Principal investigator: dr Mateusz Sikora

    Uniwersytet Jagielloński

  36. Using eye movement idiosyncrasies as markers of top-down control in decision-making process assessment

    Call: SONATA BIS 14 , Panel: HS6

    Principal investigator: dr hab. Magdalena Ewa Król

    Szkoła Wyższa Psychologii Społecznej w Warszawie

  37. Robot generalist - advancing robot learning via reinforcement learning and VLAs

    Call: SONATA BIS 14 , Panel: ST6

    Principal investigator: dr hab. Marek Adam Cygan

    Uniwersytet Warszawski

  38. Selection of patient-specific aortic valve prosthesis by a hybrid technique that integrates CFDsimulations, machine lear...

    Call: SONATA BIS 14 , Panel: ST8

    Principal investigator: prof. Wojciech Piotr Adamczyk

    Politechnika Śląska

  39. Mobility Patterns and Social Hierarchies. A Bioarchaeological and Chronological Study of the Late Bronze Age and Hallsta...

    Call: SONATA BIS 14 , Panel: HS3

    Principal investigator: dr Anna Maria Józefowska-Domańska

    Instytut Archeologii i Etnologii Polskiej Akademii Nauk

  40. Personal_TIVA: A Personalized Approach To An Automatic Drugs Delivery Control System In The Total Intravenous Anaesthesi...

    Call: SONATA BIS 14 , Panel: ST7

    Principal investigator: dr hab. Andrzej Pawłowski

    Politechnika Wrocławska

  41. Challenging problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine lea...

    Call: MAESTRO 16 , Panel: ST1

    Principal investigator: prof. Piotr Andrzej Gwiazda

    Uniwersytet Warszawski

  42. Optimization of hydrogen oxy-combustion and hydrogen-ammonia combustion using experimental techniques, high-fidelity num...

    Call: OPUS 27 , Panel: ST8

    Principal investigator: prof. Artur Tomasz Tyliszczak

    Politechnika Częstochowska

  43. Linking political reform and judicial decisionmaking. A study ofjudicial resilience in Poland

    Call: OPUS 27 , Panel: HS5

    Principal investigator: dr hab. Jan Winczorek

    Uniwersytet Warszawski

  44. GeoSpatial AI-Driven Risk Assesment of Child Malnutrition. Unreveling the Intersectional Determinants.

    Call: PRELUDIUM 23 , Panel: HS4

    Principal investigator: Muhammad Usman

    Uniwersytet Warszawski

  45. AI-based model for fast and label-free identification of BAALC overexpression in acute myeloid leukemia cells

    Call: PRELUDIUM 23 , Panel: NZ1

    Principal investigator: Paulina Małgorzata Laskowska

    Instytut Hematologii i Transfuzjologii

  46. Overcoming forgetting in continual learning with an ensemble of experts

    Call: PRELUDIUM 23 , Panel: ST6

    Principal investigator: Grzegorz Rypeść

    IDEAS NCBR Sp. z o.o.

  47. What are spatial and temporal trends of natural and anthropogenic influences on PM2.5 concentrations in Europe under cha...

    Call: PRELUDIUM 23 , Panel: ST10

    Principal investigator: Tetiana Vovk

    Uniwersytet Wrocławski

  48. Reliable and efficient real-world test-time adaptation

    Call: PRELUDIUM 23 , Panel: ST6

    Principal investigator: Damian Sójka

    IDEAS NCBR Sp. z o.o.

  49. Application of explainable artificial intelligence algorithms in order to improve imbalanced data methods

    Call: PRELUDIUM 23 , Panel: ST6

    Principal investigator: Weronika Tamara Węgier

    Politechnika Wrocławska

  50. Automatic detection and spatial modeling of allergenic pollen at urban scale

    Call: PRELUDIUM 23 , Panel: ST10

    Principal investigator: Szymon Tomczyk

    Uniwersytet Wrocławski

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