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. • Experience with ion irradiation experiments and/or materials behavior under irradiation. Desired skills and qualifications • PhD in physics, nuclear engineering or material science • Strong teamwork and
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School of Medicine is recruiting a full-time, tenure track/tenure Associate Professor or Professor with specialization in clinical trial epidemiology. Applicants must have a doctoral degree (PhD, MD/PhD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 27 days ago
of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii) Curriculum Vitae; iii) academic degree certificate; iv) research
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, or pensions is considered an asset. You publish in leading international journals in the field, secure research funding, develop international collaborations, and supervise PhD students. You strive
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, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process
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28 Mar 2026 Job Information Organisation/Company Università di Padova - Dipartimento di Fisica e Astronomia Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project is part of the MSCA Doctoral Network "SecReSy4You
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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg