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development. Qualifications Requirements for the position are: M.Sc. in engineering, neuroscience, statistics, quantitative biology, physics, mathematics or a related discipline. Fluency in Python programming
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the country, substantially equivalent knowledge strong research experience in transport modeling, AI/LLM, and technical skills programming in Python. In addition to the above, there is also a mandatory
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molecular simulations. Previous hands-on experience in more than one of the following methods is considered an advantage: molecular simulations, Python programming, machine learning, or quantitative analysis
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like Python or C/C++ Familiarity with networking and security protocols is a plus You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education
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interpreting biological data and testing hypotheses experimentally. Molecular biology methods Good interpersonal skills and ability to work in a team. Strong interest in omics and/or image data analysis (Python
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the doctoral programme in question, the following are also required: Good knowledge in mathematics, statistical thermodynamics, and scientific programming (using, for example, Python, Fortran, C/C++) Excellent
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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, mathematics, or a related field. Ability to independently conduct large-scale genetic analyses (GWAS). Expertise in bioinformatics/statistics, including programming (e.g., R or Python). We are searching
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related field. At least three years of documented professional experience in bioinformatics-related system development. Excellent knowledge of Python or similar programming languages. Experience using Git
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”. Qualification requirements Required Academic degree in Bioinformatics, Computer Science, Biotechnology or similar. Programming experience, preferably using Python or Javascript. Basic knowledge of version control