58 programming-"https:"-"https:"-"https:"-"I.E"-"UCL"-"UCL" PhD positions at Nature Careers
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
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are involved in a specific and well-funded research project dedicated to experimental quantum optics in 2D materials. • You will present your research plan to the faculty and complete a dissertation
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are involved in a specific and well-funded research project dedicated to experimental quantum foundations and indefinite causal order. • You will present your research plan to the faculty and complete a
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release of hydrophobic drugs from lipid nanocarriers. The candidate will hold a M.Sc. in pharmacy and preferably has previous experiences with scientific programming (e.g. Matlab, R). The candidate must be
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, including, but not restricted to, geometry or shape optimization, parameter optimization, or multi-objective optimization. · Strong programming skills (e.g. Python, C/C++, R or similar) and experience
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
., using FEniCSx) Advanced knowledge of scientific programming, preferably in Python, including experience with implementing machine‑learning methods (e.g., PyTorch) Excellent spoken and written English, as
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programming skills in Matlab or Python Relevant experience in the analysis of M/EEG data Strong communication and interaction skills as well as empathy Enthusiasm for scientific work in an interdisciplinary
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according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve A wide range of training and
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collaborators within WHIRLS. Qualification Required: Completed master studies in oceanography, marine sciences, climate science, or another related field Experience in the analysis of data sets using programming