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, including characterization of electrodes using spectroscopical and electrochemical techniques at different levels from micro-scale to macro-scale. You are expected to finish the project with a PhD thesis and
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, or applied mathematics, with proven experience (courses, projects, and work experience) in the field of wind energy or aerospace engineering. A combination of good mathematical and analytical skills, a strong
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Mathematics » Computational mathematics Physics » Thermodynamics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 31 Oct 2025 - 23:59 (Europe
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Mathematics » Computational mathematics Physics » Thermodynamics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 31 Oct 2025 - 23:59 (Europe
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
mathematics (and the like) to fill a PhD position which is based at AWI and in collaboration with the Mathematic Department at University Bremen. Within this project a comprehensive data processing chain shall
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, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those employed in classical networks, necessitating novel verification approaches. The goal
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that different insights lead to innovative solutions. We create a work environment where everyone feels welcome, safe, and appreciated, regardless of background, identity, or experience. Together, we are building
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
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-ON-BRAIN) that connects different countries with the overarching aim to develop cutting-edge human in vitro and in silico biomedical tools to better understand the biology of brain disease/disorders. You
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models