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Field
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analytical background. Ideally, applicants will have direct experience using a programming language (MATLAB/Python/R) as a tool for the conduct and analysis of experiments. Information about the Project Our
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include image collection analysis and computer-based instrumentation. Experience in biophotonics and LabView and MATLAB programming desirable. Candidates should have a Bachelor's degree preferably in
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spoken German/ willingness to learn German Computer skills: MATLAB and/or R desirable You are motivated and self-propelled You are flexible and creative You should be a team player with high social skills
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, Matlab, or R for data analysis of cellular signals. Convert or tweak existing codes as needed. This would be performed independently with quality assessment provided by the mentorship team. Mouse surgeries
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to learn Experience in working with Python, MATLAB or comparable tools for signal analysis Knowledge of machine learning (especially model deployment) is an advantage Structured, independent, and solution
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such as MATLAB. A4 Comprehensive and up-to-date knowledge of the wider subject area or subject specialism. Desirable: B1 Specialist knowledge in optical wireless systems such as visible light communications
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. Programming and scientific computing experience with Python, MATLAB, or Julia is essential. The ideal candidate will have a demonstrable track record of intellectual curiosity, scientific integrity, excellent
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Specification We are looking for a candidate with a BSc and MSc in Computer Science, Engineering or Physics with a focus on software programming. Experience of working with Matlab, Python and C++ is essential, as
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, OOMMF or similar) Has experience of research in spintronics, magnetic materials and/or devices Exhibits data analysis skills and familiarity with standard scientific programs (e.g. Matlab, Origin
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. Knowledge of or the ability learn learn Matlab/Python would be desirable as would familiarity with different operating systems, including Unix/Linux. Diversity Committed to equality and valuing diversity