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of medical databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and signals (including speech and audio). Where to apply Website https://www.uam.es
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. Practical experience applying machine learning or deep learning methods to biological data. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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Intelligence group at the Department of Computing Science. More info about the research groups: https://www.umu.se/en/department-of-computing-science/research/research-groups/ . Qualifications The successful
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Linux, Python, and at least one additional programming language. Experience working with large, existing codebases. Experience in building web applications and APIs. Technical Skills or Knowledge
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automation, programming, scripting languages such as Python, and algorithm development. You will have extensive experience of software development / PhD in Computing or in Chemistry with a strong computing
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methods for building and validating communication and/or information theory. Candidates must have experience with computational techniques using R or Python and the ability to teach courses in computational
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permanent and temporary grasslands. These results will clarify the potential contribution of grassland ecosystems to achieving France's 2050 carbon neutrality goal. Where to apply Website https