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- Gdańsk University of Technology
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a competition for the position of postdoctoral position (assistant professor) in the NCN Sonata-18 project entitled: Parallel and exact algorithms for path problems in directed graphs. About the
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annotating experimental findings from the literature— with advanced machine learning approaches to extend functional annotation of LCRs. • Apply clustering algorithms to group LCRs by similar annotation
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identifying the parameters of PDEs, while on the other, newly emerging gradient flow methods hold significant potential for the development of sampling algorithms. The research goals are structured
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. Project Description: The primary goal of the Project is to develop innovative software enabling generation of chemical compounds which are optimized in terms of physicochemical properties, ADMET, and
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in data processing, designing or developing computational algorithms for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory
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automation and simulation-driven optimization of high-frequency systems using machine learning * development of optimization algorithms and numerical modeling procedures * development of simulation models
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analysis algorithms will be used to assess how different neutrophil subpopulations directly and indirectly kill tumour cells, and how this behaviour is influenced by other cells in the tumor microenvironment
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Infrastructure? No Offer Description TASKS/ROLE * conducting didactic classes (lectures, exercises, projects, laboratories) in the field of computer science in Polish and English * developing teaching materials
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currently deposited at Zenodo. We will re-annotate the proteins to comprehend the underpinnings of fungal ecology and adaptability. The project will integrate information on the evolution of Mortierellomycota
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5 Sep 2025 Job Information Organisation/Company Gdańsk University of Technology Department Faculty of Electronics Telecommunications and Informatics, Department of Algorithms and Systems Modelling