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from the end of the candidates’ response period), the panel’s final decision is issued. 11. Formal application procedure Applications are formalized completing the application form available at https
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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documents must be submitted as a single PDF file. All publications listed under point 5 must be submitted as individual PDF files compiled into a ZIP/RAR archive or similar format. Processing of applicants
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in signal processing, AI, computer vision
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scientific articles for publication based on this data. Eligibility criteria PhD in Geological Sciences Selection process 1. PhD in Geological Sciences (4 points). 2. International mobility (maximum 1 point
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Bratislava) Country Slovakia Type of Contract Not Applicable Job Status Full-time Hours Per Week 37,5
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Max Planck Institute for Chemical Physics of Solids • | Dresden, Sachsen | Germany | about 1 hour ago
-academic training such as skills courses. A full description of our PhD training is available on our website: https://imprs-cpqm.mpg.de/105837/PhD-training . A Diploma supplement will be issued Yes
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persons. Applications and the supporting evidence of eligibility for point 3 should be sent exclusively via the following weblink: https://posao.pmf.hr/opening-login?openingUUID=1b2cc171-8032-4143-8a00
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persons. Applications and the supporting evidence of eligibility for point 4 should be sent exclusively via the following weblink: https://posao.pmf.hr/opening-login?openingUUID=e95d7c80-26ac-4e4a-9c62