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Field
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in bioinformatics, molecular biology, computer science, or a related field; Strong bioinformatics skills, including programming in a Linux environment (Bash, R, Python) and familiarity with commonly
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developing profile and an understanding of relevant methods and techniques. Strong numerical and computational skills, plus proficiency in at least one of: Python, MATLAB, or C++, particularly for data
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a nanoparticle printer, with systematic control of composition and deposition conditions. Characterize samples with micro-XRF composition mapping and SEM, and develop reproducible Python pipelines
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, particularly in areas such as machine learning theory, probability theory, optimization, and linear algebra. Experience with random matrix theory is a plus. Programming experience in Python. Familiarity with
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models; Expert knowledge of programming, preferably in Python and/or Fortran; Experience with space-industry based emissions and their impact on the atmosphere. What we offer: VISESS doctoral school: You
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for analog and RF circuits toward energy-efficient AI-driven 6G transmitters. Your Role and Goals As a Doctoral Researcher, you will: Build hardware-aware behavioral models of analog and RF circuits in Python
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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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, computer science, applied mathematics or a closely related field. - Programming experience (e.g. Python, R or similar). Solid knowledge of network biology, mathematical modelling and/or omics data analysis
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 18 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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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