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will require a strong interest in experimentation, reproducibility of results, and reading scientific papers. Good programming skills (in practice Python) are expected, as well as a genuine interest in
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/Qualifications Experience with molecular simulations (LAMMPS, GROMACS or equivalent) and/or electrostatics simulations (APBS or equivalent). Strong programming skills (Python, FORTRAN, C, or similar). Experience
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referencia. Habilidades de programación en Python y plataformas de aprendizaje profundo como PyTorch. Habilidades de comunicación oral y escrita en inglés. PhD degree in computer science, electrical
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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methods for calculating breast cancer screening rates across two systems. They should have advanced expertise in SQL and have experience using statistical or programming packages like R or Python
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and generative protein design (e.g. AlphaFold, OpenFold, Boltz, Chai). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run
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code and understand the underlying MCR-ALS workflow Translate and implement the method in Python in a way that is compatible with SasView Investigate how the new functionality can be integrated
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shaping the future of computational education at Duke. Minimum Requirements 2–4 years of professional software development experience. Proficiency in Python 3.10+ and async/await patterns. Experience with
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méthodologie proposée. Funding category: Contrat doctoral PHD title: Doctorat en Génie des Procédés et de l'Environnement PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show
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the future. https://nusit.nus.edu.sg/ Job Purpose Deliver enterprise-grade AI-powered applications using primarily but not limited to .NET and React, leveraging AI coding assistants throughout development