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Field
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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charging technologies Experience in modelling and simulation using Python Knowledge of optimisation methods, energy systems, or smart charging concepts is advantageous Experience with data analysis and
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. * Strong background in numerical mathematics, modelling and simulation is required. * Knowledge in Inverse Problems. * Experience in programming (e.g., Matlab, C, Python). * A high level of competence in
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) Physics Knowledge of experimental atomic, plasma and/or laser physics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed
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, or Mining Engineering, with demonstrated link/application to the mineral raw materials sector. The candidates should demonstrate some of the following skills: - coding in Python - Life Cycle Thinking (LCA
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 2 months ago
biology • Basic knowledge of and strong interest in next-generation sequencing (NGS) data analysis • Proficiency in at least one programming language, preferably Python and/or R, and routine use
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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, or a strong willingness to develop them during the project; experience with R, Python or bioinformatic workflows would be an advantage. Ability to work with human biological material, biobank resources
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multiple high-quality journal and conference publications and provide opportunities for collaboration with academic and industrial research partners. Supervisor https://www.tudublin.ie/explore/faculties-and
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en