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Field
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. These experiments will be combined with optogenetic tools for causal manipulations of neural circuits during learning and sleep. Additionally, data analysis using MATLAB (or Python) will be used to analyse neural
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fields. Additional optional skills and qualifications: Knowledge of coastal geology. Knowledge and experience in programming with Python and in GIS. Availability and motivation to participate in field
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of Python programming. - Development of IT tools for use in real environments. - Knowledge of simulation methodologies. Minimum requirements: Past experience (or academic training) in Artificial Intelligence
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: Advanced knowledge of a programming language (e.g. Python, C++). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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are eligible for appointment. Fluent oral and written communication skills in English. Desired qualifications: Specific technologies that are commonly used in the group include Python, high-performance computing
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stages of PhD submission * Strong track record of scientific contribution, as evidenced by publications, preprints, or submitted manuscripts * Experience in coding in Python or MATLAB * Please see the full
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, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research and work We
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PDF, Dev of new porous transport layer architectures for Proton Exchange Membrane Water Electrolysis
in PEM water electrolyzer or PEM fuel cells and a minimal of three first-authored peer reviewed publications Asset: Knowledge of Python coding Language requirements English Information on language
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are welcome. Demonstrated proficiency in data management, data harmonization, and advanced data analysis techniques. Strong programming skills in Python, R, and/or similar software. Experience working with