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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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. Primary tasks: Design and implement 3D molecular simulation modules in Unity Integrate bioinformatics pipelines into the VR environment via Python bridges Profile and optimise real-time rendering and
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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has experience with programming, data analysis and visualisation using Matlab, R and/or Python. Research in a clinical setting means that flexibility with work scheduling is occasionally required (e.g
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Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning
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platforms (e.g., TRNSYS-Python) Implement and test AI-enabled smart energy management strategies in real-world settings Conducting in situ measurements, including planning, setting up sensors, data collection
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future career in the life sciences. A particular focus point is the exposure to and training of Python programming via the platform JupyterLab in both theoretical and laboratory exercises across the degree
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chemistry and excellent analytical skills. Proficiency in scientific programming (e.g. in python). Excellent oral and written English language skills. Experience with machine learning, density functional
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co-simulation platforms (e.g., TRNSYS-Python) Implement and test AI-enabled smart energy management strategies in real-world settings Conducting in situ measurements, including planning, setting up
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of numerical implementations, ideally in Python. Experience with X-ray or neutron tomography data is a plus. Flexibility is essential. We are looking for a team player who can also work independently, who is