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Field
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’ project. Develop code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of customized scripts and perform numerical simulations. Closely collaborative and
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physical hypotheses. Run customised scripts using programming languages such as Fortran, Python, and/or MATLAB. Postprocessing and interpretating datasets from numerical simulations. Propose parameterization
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sensing analysis • Strong research background in spatial analysis and geostatistical simulation • Experience in using Python and/or other programming languages • Good oral and written English
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meteorological datasets. Good programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability
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Python, ML frameworks such as TensorFlow or PyTorch, statistical analysis, and strong IT skills are essential. You will thrive under tight deadlines, handling sensitive data with confidentiality, and have
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quantum many-body theory with a focus on quantum impurity models (particularly Kondo model). Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques
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–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python
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cellular neurophysiology or related fields Experience in patch clamp-based electrophysiological recording from native neurons Expertise in programming with Python and R Experience with programming
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. Ability to undertake complex analyses and data modelling using programming languages such as Python, R and/or hydrological modelling packages, with adherence to FAIR data principles (Findable, Accessible
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: - Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiar with high-performance computing (HPC) environments and