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languages such as Python, R, Julia, Fortran, or C/C++ Excellent written and spoken English Ability to work independently and as part of a multidisciplinary team Strong experience in scientific writing (e.g
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review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and
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, Python, Julia, MATLAB). A research-oriented attitude. Ability to conduct high quality academic research, reflected in demonstratable outputs. Ability to be self-propelling and drive your own research
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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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Python programming and familiarity with ML frameworks such as TensorFlow, PyTorch, or JAX. Experience with cheminformatics tools (e.g., RDKit, Open Babel) and chemical reaction databases (e.g., Reaxys
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chemical wet lab work is required. Experience with in vivo experimentation is required. Experience programming in Matlab and/or Python is desired. Experience with SEM/TEM/Raman/XPS/XRD is desired. Experience
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-carbon energy sources in the subsurface. Hands-on knowledge in Python programming. Experience in working with open-source reservoir simulation software, including adapting the software for specific
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or