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Financing yes Type of Position Full PhD Working Language English Required Degree Master Areas of study Theoretical Physics, Physics, Applied Mathematics Description Description The PhD students will engage in
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Apr 2026 Financing yes Type of Position Full PhD Working Language English Required Degree Master Areas of study Theoretical Physics, Physics, Applied Mathematics Description Description The PhD students
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research, and like all PhD Scholars, you should expect to spend up to 20% of your time on teaching and other related duties. This is a unique opportunity to contribute to a collaborative, high-impact project
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institution and in a relevant field for this position (e.g., in electrical engineering, physics or computer science). The selected candidate will be enrolled in a PhD degree program at Iscte.Planned secondment
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collisions. The education within the PhD is broad and offers perspectives to find later a job related to physics and chemistry. The salary after tax is in total ~26.000 Euro per year. Social insurance is
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. This PhD position is offered in
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
Job Code: MPIDS-W087 Job Offer from October 01, 2025 In the Department of Living Matter Physics (LMP) we seek to fill a number of PhD positions - Statistical Physics and Active Matter. The Max
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of PINCODE, including Prof. L. Aslett (Durham) and Prof G. O. Roberts (Warwick). Participate within the statistical community at Newcastle, including active involvement in seminars and research groups. Publish
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an additional asset) a talent for combining personal initiative and team spirit strong motivation to engage in a PhD program Selection process For more information please contact Prof. dr. Simon
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01.10.2025, Wissenschaftliches Personal This PhD position is part of the interdisciplinary TUM GNI project AUROrA – AI-Driven Urban Flood Resilience: Integrating Earth Observation and Architectural