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Field
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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, ideally in nuclear or particle physics. Responsibilities will require data analysis, Monte Carlo simulations, programming (ROOT, C++, Python, GEANT4), and hands-on hardware work; previous experience in some
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
, or parameter identification Proficiency in Python and frameworks (e.g., PyTorch, TensorFlow) Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development Relevant scientific
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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contacts working at the front line of quantum computing, and a cross-disciplinary profile that remains rare and in high demand. You will be supervised by Dr Gabriele Liga (https://www.tue.nl/en/research
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programming skills (preferably Python and/or C++); Excellent proficiency in English (oral and written). Flexibility regarding working on-site with the diverse project partners. If you immediately recognise
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publications in peer-reviewed journals and write a PhD thesis to complete your studies Where to apply Website https://apply.refline.ch/673278/3961/index.html?lang=en&cid=1 Requirements Research
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• Education: Master's degree in Automation, Electrical Engineering, AI, or Energy. • Skills: Modeling (Python/Matlab), AI (PyTorch/TensorFlow), signal processing. • Qualities: A passion for experimentation (HIL
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language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation Good organisational skills and ability to work systematically
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-level languages (Python, Matlab) Affinity with hands-on experiments is desired General knowledge in physics, particle accelerators and radio frequency systems is a plus Fluent in English Open to team work