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Field
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background in Computational Fluid Dynamics, should be familiar with High Performing Computing, including coding in CUDA, and should have knowledge of C++, Julia and Python; d) Ability to work both
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stack Development of Python code to operate quantum systems Detailed experimental characterization of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform
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of stochastic systems, and possibly reinforcement learning / POMDPs; ● Has, or will soon acquire, skills in Python or R (or equivalent); ● Is willing and able to move between ENS in the Paris region and SETE in
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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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programming (e.g. in python). You have good communication skills (in English) and strong affinity with working in a multidisciplinary and mutli-institutional environment. Do you recognise yourself in the above
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. Your qualifications MSc degree (or equivalent) in physics Knowledge of plasma physics is a plus Experience in programming languages (e.g. Python, C++) Proficiency in English, both written and spoken We
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related field, Knowledge in fluid mechanics and heat transfer, Programming skills (Python, MATLAB or equivalent), Strong English communication skills. Experience in multiphase flows, modeling, or AI methods
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Proven laboratory experience and programming proficiency (Python or a comparable language) Ability to work independently and self-reliantly, while maintaining strong teamwork and collaboration skills
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the context of type 1 diabetes. Essential Master's in bioinformatics, data science, biomedicine, bioengineering, biotechnology or related fields Programming experience in Python and/or R Excellent
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and