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Researcher (R2) Positions PhD Positions Application Deadline 21 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in a PhD in the field of formal methods and knowledge presentation? In this PhD position
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advanced computational methods to improve and understand protein function Interest in entrepreneurship to make a positive impact on planetary and human health As a formal qualification, you must hold a PhD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 23 days ago
mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii) Curriculum
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quantum chemistry, experience with machine learning regression methods. Preferred start date as soon as possible but flexible. Basic Qualifications PhD in Physics, Chemistry, Materials Science, Computer
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does not provide housing. Eligibility criteria PhD or DSc degree in sociology or a confirmed PhD defense by September 1, 2026 (formal requirement). Significant scientific achievements, including current
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Te Tari Pūhanga Pūmanawa Rorohiko | Computer Science and Software Engineering Located in Ōtautahi | Christchurch, Aotearoa | New Zealand Full-time 37.5 hours per week (1.0 FTE) Fixed term (1 years
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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. The ability to obtain source code access to export controlled nuclear software, including VERA. Preferred Qualifications The ideal candidate will have experience in methods and software development related
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods