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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 2 months ago
-AMP/2025/1 IT specialist position in the scientific project Deep optimized generation for antimicrobial peptide discovery (DOG-AMP) financed by the European Commission (grant agreement no 101125506
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Chairs). DCB is led by Prof. Marcin Drąg, an internationally recognised expert in chemical biology and in the combinatorial chemistry of proteolytic enzymes. The department’s mission is to develop and
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dimensionality reduction * development of optimization algorithms and numerical modeling procedures * development of simulation models using commercial packages (CST, ADS, HFSS, etc.) * writing technical reports
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efficiently) on planar graphs. The goal of the project is to develop a structural theory of graph classes that enjoy similar algorithmic, combinatorial and logical properties. See: https://sites.google.com/view
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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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, Western blotting and its imaging), (g) optimization of protein expression conditions in expression systems, (h) examination of enzymatic activity, including determination of reaction kinetic parameters
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would participate: investigating the molecular and genetic mechanisms underlying the development of resistance of cancer cells to CAR-T therapy and bispecific monoclonal antibodies (BiTEs); optimizing and
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under the FIRST TEAM FENG project, No. FENG.02.02-IP.05-0039/23, entitled: „GenProSyn – an innovative generative approach to enumeration of easy-to-synthesize ligands with optimized properties”. Project
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tasks include the design and optimization of femtosecond fiber lasers tailored to the absorption spectra of key chromophores, the development of novel methods for photon counting, correlation, and
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. This robust combination drives substantial advancements in optimization, sampling, inference, and machine learning. On one side, statistical approaches such as Bayesian inference play a critical role in