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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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-quality research and experiments on nearshore seawater monitoring Prepare grant proposals and project reports Program using Python and test theoretical findings via computer simulations Test the methods via
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modelling (numerical simulations, e.g. matlab or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are eager to learn and expand your knowledge! Basic knowledge of analog and
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theoretical and quantitative biology and proficiency in the use of statistical programming languages (R or Python), Bash computing and work with high-performance clusters. Experience with Next Generation
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Engineering or a related discipline or an equivalent qualification; (b) strong programming skills in Python, with experience with C++, Java or Go being an advantage; (c) familiarity with RESTful APIs
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, Electronic Engineering or a related discipline or an equivalent qualification; (b) strong programming skills in Python, with experience with C++, Java or Go being an advantage; (c) familiarity with
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verification and/or formal methods; (c) excellent programming skills in Python and experience with modern AI frameworks (e.g., PyTorch), LLM ecosystems and agent development frameworks; and (d) strong
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analyses. Develop reproducible bioinformatics pipelines and computational tools using Python and/or R. Work closely with Dr. Ren and experimental and computational collaborators to translate computational
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in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week. Job Duties Learns to formulate machine learning problems. Learns to implement machine