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. Interest in power electronics, power systems, electromobility. Programming skills in relevant languages, e.g. Python or MATLAB. Knowledge about battery pack testing and design. Experience with statistics and
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spoken English Dedication and a strong desire to learn Merits: Programming skills in Python and machine learning Knowledge of data processing Familiarity with numerical analysis of ship performance and
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understanding; Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness, and a
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presenting research results Fluency in written and spoken English Dedication and a strong desire to learn Merits: Programming skills in Python and machine learning Knowledge of data processing Familiarity with
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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techniques Experience with programming or data analysis (e.g. R, Python, MATLAB) Good scientific writing skills Admission and employment Once you have been admitted for education at third-cycle level, you will
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, including deep neural networks and relevant frameworks * Documented several years of experience in development with Python and version control systems, e.g., Git * Documented experience in large-scale data
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to work independently and effectively Good command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge
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of medical imaging technology and physics. Specific proficiency in relevant software and programming languages, e.g. Matlab and Python. Basis for assessment and selection In accordance with the provisions
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level of competence in the construction and implementation of bioinformatic pipelines Good communications skills in English Documented ability in Python or Nextflow coding Experience working with machine