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particular in deep learning, LLM, digital hardware design, embedded systems, audio processing; Proficiency in deep learning frameworks (e.g. PyTorch) and programming skills (SystemVerilog, Verilog, Python, C
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, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming (e.g. C++, Python, Matlab
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faculty members, PIs. • Python, Java, or similar language experience. • Familiar with popular machine learning packages, e.g., Pytorch. Special Instructions to Applicants: In order to be considered, you
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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, Origin, R, Python) Driving licence (class B) is desirable The position will be filled by 1 October 2025 at the earliest. We offer an exciting position with varied activities in an interdisciplinary working
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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laboratory-based skills Programming skills (Matlab, Python, or similar) Applicants with a good 2.1 degree are also encouraged to apply if they can demonstrate excellent laboratory skills through previous
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hands-on experience in molecular cloning, cell culture systems, mouse models, and interest in liver disease biology. Experience with R or Python and the computational analysis of next-generation
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang