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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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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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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
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Number 3745 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description TASKS/ROLE * development and optimization of electrospun nanofibres with high
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5G core software such as Open5GC, and Radio Access Networks (OpenRAN) to have a knowledge on next-generation networks and orchestration and optimization methods and management of virtual network