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the controller of your personal data is Network Institute operating under the name of Łukasiewicz Research Network – PORT Polish Center for Technology Development, Stabłowicka 147, 54-066 Wrocław, Poland. The data
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/11250664 https://www.jmlr.org/papers/v26/25-1161.html Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in engineering, computer science, or related disciplines (typically
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or equivalent Skills/Qualifications Requirements: • PhD in Chemistry. (Obtained the degree in a maximum of 2 years before the call). • Experience in 3D printing, tissue engineering and cell culture. • Previous
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requirements Essential: PhD (or near completion) or equivalent qualifications and experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The PhD stipend is open for appointments from 1st June 2026 or soon
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upload all documents through our webpage, applications via E-mail cannot be accepted. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position-on-all-solid-state-batt… Requirements
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Institut of Mineralogy, Physics of Materials and Cosmochemistry | Paris 15, le de France | France | 21 days ago
category: Contrat doctoral PhD funded by Institut des matériaux de Sorbonne Université (iMat) PHD title: Doctorat de Physique PHD Country: France Where to apply Website https://www.abg.asso.fr/fr
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engineering Engineering » Other Physics » Electromagnetism Physics » Applied physics Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 May 2026 - 23
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in Baltics, as part of the Electrochemical Energy Conversion Lab within the Department of Chemical Engineering and Technologies. Where to apply Website https://www.ftmc.lt/phd-admission-and-2026
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026