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invite applications for a PhD student in the area of ?parameterizing ocean mixing?. The position is initially limited for three years. Equal opportunity is an important part of our personnel policy. We
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address: Dr Fahad Panolan: f.panolan@leeds.ac.uk Project summary The Algorithms group at the University of Leeds (UK) is offering a fully funded 3.5-year PhD studentship on Parameterized Complexity and
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biogeochemical processes of the coastal ocean and the impact of anthropogenic influences on the natural state. It is located near Hamburg. PhD Position Reference code: 50136009_4 – 2025/KD 2 Commencement date: as
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) Positions PhD Positions Country Germany Application Deadline 21 Sep 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Other Job Status Extra Information The position is limited to 3 years Is
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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 This PhD is part of the future JET2SB
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on soil organic matter cycling Literature research and (meta-)analysis to provide evidence-based knowledge for model parameterization Quantify the coupled carbon and energy turnover of specific biomolecules
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
31.07.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, is inviting applications for a fully funded PhD position at the Technical University
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14th September 2025 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Wind Turbine Noise Prediction in the Norwegian Context Apply
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We are looking for a highly motivated PhD candidate to investigate the interactions between wind and waves. Understanding energy and scalar fluxes across the air-sea interface is crucial for a
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biodiversity. Specifically, the primary focus of the PhD will be to analyse and parameterize models describing the ecological and evolutionary dynamics of small and fragmented populations, and how the risk of