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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 13 days ago
/public/classic/en/offres/2026-10471 Requirements Skills/Qualifications Technical and software skills and level required : Good programming skills in Python, MATLAB, and C++. Ability to design and implement
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skills (Matlab, Python). Ability to work with large datasets. Knowledge of basic statistics. Ability to work in an interdisciplinary team. At least 4 months of experience in research activities carried out
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of the offer. The ideal PhD candidate will have: A strong background in machine learning, deep learning, and software programming Proficiency in Python and machine learning frameworks such as PyTorch
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have: A strong background in software security, linear algebra and software engineering Proficiency in Python and machine learning frameworks such as PyTorch (required) Knowledge of quantum computing
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learning, and software programming Proficiency in Python and machine learning frameworks such as PyTorch (required) Knowledge of quantum computing or quantum algorithms (advantageous but not essential
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PhD Student (f/m/d) | Engineering Crystallization and Precipitation Processes for Biopharmaceuticals
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 days ago, process analytical technology, programming (e.g., Python) or handling biomolecules would be a plus. We offer The opportunity to shape a project and a new lab from the start, with close and regular
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essential. Additionally, he/she is expected to have good skills in calculation/simulation software (e.g., Matlab or Scilab) and programming (in languages Python, C++). Experience in aerodynamics is
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Skills or Knowledge: Proficiency in R, Python, LaTeX, and C/C++. Preferred Competencies Outstanding verbal and written skills. Organizational and attention to detail skills. Work independently with little
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Science, Mathematics, Statistics, or a closely related field Solid grounding in machine learning and/or probability/statistics Programming proficiency in Python and familiarity with ML frameworks (PyTorch, JAX
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minewater systems, with additional model development and customisation undertaken in MATLAB or Python to extend capabilities and explore sensitivity analyses. Experimental data from controlled experiments