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Field
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signal processing. Experience in programming (Matlab and/or Python and/or C) Analytical mindset Hands-on approach Good interpersonal and interdisciplinary communications skills Proven autonomic attitude in
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, particularly in MATLAB or Python, would be beneficial. Your profile The candidate should possess (or be in the process of completing) an MSc degree or equivalent in Electrical/Electronic Engineering, Computer
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internships) in control theory or event-camera sensing is considered a strong asset. Experience with scientific computing in Matlab, Python, or Julia is required. Excellent proficiency in the English language
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good analytical and communication skills. Programming skills (MATLAB, Python, or LabVIEW) are a plus. We strongly encourage applications from candidates of all backgrounds. Enthusiasm and potential
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OpenAirInterface5G software stack. Programming Skills: MATLAB or Python, C/C++. Language Skills: Fluent written and verbal communication skills in English are required. French, German, or Luxembourgish is a plus. We
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or similar, obtained by the start date Experience in modeling using Python, MATLAB or similar Basic programming skills Proficiency in scientific English (written and spoken) Willingness to spend several months
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, or a related field Experience in working with patients with neurological disorders (preferred) Experience with data analysis using Python and/or Matlab (preferred) Experience with neuroimaging data
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technology, quantum optics, photon detection and characterization, data analysis/processing Scientific publications relevant to the position description Computational skills (Python, Matlab, Mathematica
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, Matlab, Python or R) Demonstrated a high level of expertise in analysis of large and complex datasets Detail-oriented and excellent communication skills Excellent command of written and spoken English
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background in, or willingness to learn, physics-based numerical modelling and programming skills, in Python (preferably), R, MATLAB, or a comparable language. Openness to collaborate within interdisciplinary