46 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" PhD positions at University of Groningen in Netherlands
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training programme is part of the agreement. The indicative starting date is around January 2026. The position will be filled as soon as a qualified candidate has been found, so interested candidates
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to be expected. A PhD training programme is part of the agreement. The desired starting date is January 2026. The position will be filled as soon as a qualified candidate has been found, so interested
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on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/ ) offers a 4-year M20 Program funded PhD position for a project on “Multi-dimensional
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or computational neuroscience, artificial intelligence, psychology or a related field. strong programming skills. experience in experiments with human participants is preferred. good analytical skills and a positive