38 physics-engineer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Denmark
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apply to be enrolled in our 4+4 PhD program, which is a way to commence the PhD study whilst concurrently completing the master program ( https://www.sdu.dk/en/om_sdu/sdus_profil/strategi
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place of work is Paleoceanography and Paleoclimate Group, Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, DK-8000 Aarhus C, Denmark: https://geo.au.dk/paleo Contact information
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program ( https://www.sdu.dk/en/om_sdu/sdus_profil/strategi/udfolder_talenter_og_fremmer_det_unikke/4_plus_4_ph_d ) Strong collaborative and communication skills and an interest in working in an
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accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more
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alerts Sign in or create an account to start creating job alerts and receive personalised job recommendations straight to your inbox. Create alert Similar jobs Senior Computational Engineer Memphis
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section "What we expect" below. Read more about the network at https://e-core.nws.cs.unibo.it/ . What we offer E-CoRe is a European doctoral network on reversible computing. Reversible computation
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: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026/mante-vertelyte/ and here: Can history help us understand why children do not
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career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus
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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
at https://e-core.nws.cs.unibo.it/ . What we offer E-CoRe is a European doctoral network on reversible computing. Reversible computation discards no information and therefore avoids the fundamental
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collaborative candidate to work closely with other members of the AI:EcoNet Lab. Requirements : Master’s degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in