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Field
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. · Proficiency in programming languages such as Python, Pytorch/JAX, AWS. · Knowledge of energy market mechanisms and policy considerations is a plus. · Excellent communication skills and the ability
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techniques, statistical methods or data analysis in particle physics (assessed at interview) Experience in the Python and/pr C++ programming languages Effective communication skills, both written and verbal
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technology, also documented experience of technical programming in e.g. Python or Java are a merit. Experience with modelling and simulation in stormwater management are an added advantage. assessed ability
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and visualisation tools . Previous experience in the development of software for large-scale spectroscopic surveys is desirable. Experience and practical knowledge of Python to query databases
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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relevant field (e.g. bioinformatics, genetics, molecular biology) Proven programming skills (preferably Python, other languages also appreciated) A strong background in biology Strong interest in molecular
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academic degree (Master's) in computer science, mathematics, data science, computational linguistics, cognitive science or a related discipline Sound programming knowledge in Python and TypeScript/JavaScript
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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
xperience with quantitative research methods, Experience in reproducible statistical analyses (preferably R and Python) and in the peer-reviewed publication of results. Must be able to work interdisciplinary
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research experience. Technical Skills or Knowledge: Proficiency in Python, R, or Julia, with expertise in relevant ML/AI libraries, such as TensorFlow andTorch, etc. Preferred Competencies Outstanding verbal
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Pro) You have experience with Python, C/C++, or low-level programming. You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies