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Funding category: Contrat doctoral Susceptible d’être financé par le laboratoire PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/136924 Requirements
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software tools to model systems e.g. R / Python / VBa / bespoke microsimulation or other software packages Desirable Interview Good knowledge of statistical methods relating to the analysis of cross
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validation (preferred) • Good programming skills (MATLAB, Python, or similar) • Ability to work in an international and interdisciplinary research environment • Good written and spoken English Specific
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. Preferred Qualifications: Proficient in Python (or C/C++) & R programming. Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc
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want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https://www.nus.edu.sg/finance LinkedIn: https
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. Excellent programming and computer science skills in C/C++, Python or other modern language and ML codes such as PyTorch or Keras. Clear and concise oral and written communication skills.Applicant will be
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) • Solid programming skills (Python, PyTorch or similar) Highly valued: • Knowledge of one or more of: federated learning / distributed systems, privacy-enhancing technologies, cryptography, cybersecurity
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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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development, optimization, and continuous learning in a rapidly evolving field. Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our
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engineering or a related discipline Strong programming skills (e.g., Python, R) Experience with data processing and analysis Knowledge of statistics, or a strong willingness to learn A genuine interest in