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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who wants to design inclusive futures
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multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a combination of theoretical research and the implementation of new statistical methodology and
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At AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1/9-2026 or soon hereafter. The duration of the position is three
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modelling to improve our understanding of radionuclide behaviour under relevant environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
potential energy. Both approaches require knowing the CPR's full state, which is classically obtained with dynamic models that can be demanding in terms of computational resources. Indeed, the slender legs
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, manipulation, and other adversarial attacks. Conventional cryptographic methods alone may not be sufficient for highly dynamic, distributed, or resource-constrained wireless systems. The project aims to develop
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PHD Student__NG_08/2026 Is the Job related to staff position within a
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structure visualization tools (PyMOL, ChimeraX, or similar) Rosetta or other protein design software Our offer A fully funded PhD position with an attractive salary. A dynamic, highly stimulating, and
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| Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5919 The research team “Climate Dynamics and Modeling” is part of the Department of Meteorology and
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel