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PhD position sponsored by the Marie Sklodowska-Curie Doctoral Network NEWTON is offered at the Industrial Systems Institute (ISI) in Patras, Greece. ISI is member of the ATHENA Research and Innovation
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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07.04.2026, Academic staff PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project focuses on developing PINN-based simulations
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activities. The PhD candidate will have the opportunity to interact closely with the team, present their research, and receive feedback. • Close partnerships with a network of institutions and research
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engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Dec 2026 - 12:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time
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network for high-density and high-coverage deployments It is a Doctoral Network funded by the Horizon Europe Research Program through the Marie Sklodowska-Curie Action, under the title: “NovEl tEchnologies
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Seismic Detection
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 24 days ago
fundamental physical mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within
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and Science includes established world class research groups. 85% of our research is classed as "world-leading" (4*) or "internationally excellent" (3*) and our research collaborations and networks
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the area of quantum and hybrid classical-quantum networks regarding their design, management, and debugging in distributed architectures. Well-Planned Interdisciplinary Training: To sustainably train PhD