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Biomedical Signals and Systems (BSS) group of the department of Electrical Engineering at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). As a PhD candidate, you will be
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27 Aug 2025 Job Information Organisation/Company ETH Zürich Research Field Engineering » Other Mathematics » Applied mathematics Mathematics » Computational mathematics Mathematics » Mathematical
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 14 days ago
communication skills to join our research team. The PhD candidate should have: A Master’s degree (or comparable) in theoretical physics, applied mathematics or related disciplines from a recognized university
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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
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(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Professional assignment: Chair of Knowledge-Aware Artificial Intelligence (Prof. Dr. Simon Razniewski
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Job Description DTU Management would like to invite applications for a 3-year PhD position starting no later than October 1st, 2025. You will work under the supervision of Associate Prof. Filipe
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Sustainable Decision Making (Prof. Dr. Clemens Thielen), which is located at the TUM Campus Straubing for Biotechnology and Sustainability (TUMCS) and affiliated with the Department of Mathematics. The expected
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activity (work, studies, etc.) in Germany for more than 12 months in the last 36 months Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation