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Integrated Circuit (IC) design and Computer Architecture. You should have solid skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL). You should have experience with commercial EDA tools
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subjects and research areas; Experience with one or more general purpose programming languages, for example Python, and general purpose deep learning frameworks, such as Tensorflow or PyTorch; An interest in
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); Experience in quantitative data analysis and visualizations with R and/or Python; Interest in working with behavioral data, such as movement trajectories, interaction logs, task performance, and eye-tracking
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automation scripts using Bash, PowerShell, Python, or similar technologies. You have experience with database administration, backup strategies, and data recovery processes. You can troubleshoot complex
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biological content. Interest in cancer biology and/or haematology. Affinity for quantitative data analysis. Programming experience in Python is an advantage but not a prerequisite. You are expected to develop
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, system security, and access management. You can develop automation scripts using Bash, PowerShell, Python, or similar technologies. You have experience with database administration, backup strategies, and
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traffic flow theory and simulation. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your
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and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your ideas with AND without LLMs. You get excited about implementing your ideas. You are a team-player: you
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have: An MSc degree in Biomechanical Engineering or a closely related discipline by the start date of the position (September 2026) Experience in scientific programming (e.g., Python, Matlab) Experience
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Reality and/or physiological sensing Programming skills for research prototypes and data-driven systems (e.g., Python, Unity, web technologies, or similar) Experience with user studies and experimental