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(Python, C#) Experience with databases, software architecture Ability to work independently and in interdisciplinary teams LanguagesENGLISHLevelGood LanguagesGERMANLevelGood Research FieldEngineering
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across a variety of stakeholder groups. Preferred Qualifications: Experience with user research. Experience with Python, R, or other analytical tools. Experience evaluating the impact of AI-powered search
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biomechanical signals (e.g., EEG, EMG, ECG, eye tracking, inertial sensors). Programming skills in Python and/or MATLAB; familiarity with machine learning frameworks. Experience in sensor integration, real-time
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Emission Spectroscopy (XES) will be implemented. See http://www.elettra.eu/elettra-beamlines/xafs.html for more information. Job description The successful candidate will join the beamline staff in
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synchrotron nano-ARPES beamlines, and addressing forefront research in twistronics, valleytronics, and spintronics. See http://www.elettra.eu/elettra-beamlines/Spectromicroscopy.html for more information. Job
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is strongly connected to the key goal of the group to study phenotypic plasticity with regard to cancer progression, hydrogen peroxidesignaling and ferroptosis. For more information, visit: https
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, Testable or equivalent) Some programming skills (e.g.,/R-statistics/Python/Matlab/C/Ja va), preferably with experience in implementing psychological experiments Experience of working in laboratory and/or
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | about 2 months ago
(Python and/or comparable) Genuine interest in both molecular dynamics/structural biology and ML/AI – we care more about curiosity and drive to bridge these fields than a perfect-fit CV Good command
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the field are foreseen. The job includes participation in (international) conferences and (hybrid) workshops, as well as occasional travel Where to apply Website https://recruitment.jrc.ec.europa.eu/vacancy
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role