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frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis
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: - Past experience (or academic background) with low, medium, and high-power photovoltaic systems; - Academic background in operations research.; - Knowledge of Python and MATLAB Script programming
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absorption or Raman Good programming skills (preferably Python) Strong written and oral communication skills In the assessment, the emphasis is on the applicant's potential to complete a research education
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bioinformatics pipelines in Python for the analysis of genomics and large-scale omics datasets. Work within a collaborative team with regular scientific presentations and discussions. Work Plan - Development
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in C++ programming; - Knowledge of version control tools (Git). Minimum requirements: - Proven experience in C++ and/or Python programming; - Experience in developing graphical interfaces in a business
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of 20; Experience in python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based
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to candidates with suitable scientific and professional curriculum such as: BSc in Computer Science and Engineering Experience on programming languages such as Python, Java and Go Knowledge of cyber security
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Python for scientific computing – experience with data analysis and basic signal processing – foundations in machine learning and interest in developing advanced AI models – familiarity with Linux
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your points for admission. Emphasis is also placed on your: strong background in quantitative analysis and data manipulation proficiency with programming languages such as R, Python, MATLAB, or similar
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to. Programming experience in C, Java and Python environments. General call admission requirements include those specified in the previous point and that, from the candidate’s curriculum vitae, one may validate