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Field
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Computer Engineering, Engineering Physics, Aerospace Engineering or related areas. Basic knowledge of electromagnetics/RF. MATLAB/Python, RF instrumentation, electromagnetic simulation (CST or HFSS), 3D
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Resonance Imaging. Desirable skills that will also be considered: Preference will be given to candidates with appropriate training in data analysis, programming (Matlab, Python), and analysis of movement data
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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Machine Learning e Computer Vision; Knowledge of Deep Learning (i.e., Pytorch, Tensorflow, JAX) and Computer Vision (e.g., OpenCV, MATLAB) frameworks/toolboxes; Basic knowledge to develop and deploy edge
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languages such as Python/Matlab/C++, and knowledge-based skills on Electrical and Mechanical Systems. Priority would be given to candidates that possess relevant industry experience. Selection process
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coding in C# and matlab. Specific Requirements Essential skills: Proficiency in programming in C# and Matlab; Proven ability in designing light-sheet whole-brain imaging setups for head-restrained larval
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electrical engineering, Computer Science, or any other relevant subject. Specific skillsets include programming skills such as C and Matlab, and experience with Amazon Cloud. Priority would be given
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.; - MSc dissertation thesis topic in robotics.; - 4 or more scientific publications relevant to the research topic. Minimum requirements: - programming experience in C++, Matlab; - demonstrated experience
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of machine learning/deep learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION
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. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS