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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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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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. Main tasks Study the existing Matlab 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
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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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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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cooperation with the with the Austrian Hail Insurance. Details on AOS: https://github.com/JKU-ICG/AOS/ Possibility for obtaining a PhD and extension beyond project duration Research, development, and field
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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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
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staff to carry out activities related to research lines or scientific-technical services Ref. Interna M4000-7765 Call for selection of research asistants https://sede.urjc.es/tablon-oficial IN SPANISH