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approval to change the condition regarding the number of years after obtaining the doctoral degree. Additionally, the candidate for the postdoctoral position must meet the following condition: they did not
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knowledge of programming languages and IT tools used in data analysis (e.g. Matlab, Python, C++). • Practical skills in database creation, data management and scientific programming. • Knowledge
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-omics data (metagenomics, metabolomics, immunophenotyping data). Strong background in machine learning and statistical modeling, preferably in biomedical applications. Proficiency in Python and/or R, as
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The postdoctoral researcher will work on the project: The impact of UPF1 ATP mimetics on the mutant immunopeptidome led by dr hab. inż Monikaben Padariya (grant agreement: UMO-2020/39/B/NZ7/02677). The project is a
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radiation range; Proven research experience in conducting computer simulations and designing optical systems, THz emitters, or detectors. Proficiency in the PYTHON or other programming environment
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plus: CRISPR/Cas9 genome editing, transcriptomic/proteomic profiling, confocal microscopy, or basic bioinformatics (e.g., RNA-seq or MassSpec data analysis); Excellent command of written and spoken
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basic molecular biology or genetic techniques is required (for example, PCR, cloning, gel electrophoresis, microscopy, Western blotting, etc.); Experience in any of the following areas is a plus: CRISPR
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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with experience applying these models to practical applications for real-world challenges. Good programming skills, Python is mandatory, other languages (e.g., Java, C++) will be considered a plus to
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skills (Python / MATLAB / LabVIEW), laboratory experience (optical/biological) and/or knowledge of advanced data analysis methods will be an added advantage, fluent English, reliability, good work