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básica en análisis de datos. Programación en Python. Conocimiento de modelos de machine y deep learning. Nivel medio de inglés. Secondary school diploma, vocational training (FP), or Bachelor’s degree
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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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collaboratively with several graduate and undergraduate students. You will benefit from close interaction with semiconductor partners, including ASML. Where to apply Website https://www.academictransfer.com/en/jobs
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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radiochemistry which will provide the candidate with a unique set of skills towards the end of the PhD. References [1] Pharmaceutics, vol. 16, p. 906, (2021) [2] AIP Advances 11, 040701 (2021) [3] https
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Requirements: PhD in Biomedical Engineering, Electrical Engineering, Neuroscience, Computer Science, Psychology, or closely related field Demonstrated MEG analysis experience (FieldTrip/Brainstorm/MNE-Python
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. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset. • Familiarity with geospatial data
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Engine. • Programming skills in Python or similar scientific computing environments, with experience in geospatial and machine learning libraries. SKILLS AND QUALITIES • Strong scientific rigor and
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the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on control Experience in collaborative and international projects Experience/knowledge in HIL systems