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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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datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow
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about geomagnetic field evolution (secular variation, reversals, excursions) Global geo-/paleomagnetic field modelling expertise is advantageous Strong programming skills, preferably in Fortran, Python
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language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g., Git) Interest in or experience with semantic web
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microscopy data is an asset but not required Interest in foundational machine learning research with applied impact in scientific imaging Demonstrated proficiency in Python and experience with ML/DL frameworks
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with or experience in any of the following topics is valuable: optics (lab work, design), mechanics (e.g. CAD software), software (e.g. Python scripting), astronomical/spectroscopic data reduction and
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and functional protein annotation (sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R
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and written. Solid skills in computer programming (Python / Matlab). Experience with CAD and CAE tools. Knowledge of computational fluid dynamics (CFD). Knowledge of finite element method (FEM
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and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and computational teams Desirable criteria Experience supporting
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backend Ensure secure integration between Grafana and data sources Software DevelopmentDevelop and maintain Python and MATLAB scripts Parse and process data files generated by remote instruments in real