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Field
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and membrane protein complexes • Familiarity with Linux, MATLAB, Python, or other computational tools is a plus This position provides an excellent opportunity to work on high-resolution structural
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interactions. We’re Looking for Someone With: Strong expertise in protein structure prediction, molecular modelling, and docking. Proficiency in LINUX, bash scripting, and high-performance computing environments
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reference contact information uploaded as Specific Request 1. Skills / Knowledge / Abilities Stochastic processes and/or information theory; Python, C++, TensorFlow, Scikit-learn, Linux command line; Google
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(QMC), density-matrix renormalization group (DMRG), etc. The applicant should be able to write and implement numerical codes; good command of at least one programming language and basic Linux experience
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-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data
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skills, 4) familiarity with GNU/Linux environment. A good understanding of the basic concepts of Bioinformatics is not necessary but welcome. The project will consist in developing un-orthodox Neural
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for reading scientific literature and international communication. - Experience with high-performance computing (HPC) environments and Linux systems. LanguagesCATALANLevelExcellent
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. Integration & automation: connect the optimiser to existing simulation pipelines (DFT → TB/Wannier → transport), ensure provenance and reproducibility, and scale runs on Linux/HPC. Benchmarking & ablations: set
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analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience
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knowledge of the C++ programming language. Some knowledge of Linux is desirable. You should be willing to apply your skills to, and undertake training on, biological systems if you do not already have a