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Field
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), and the PhD student will be involved in several collaborative projects. During the second year of the thesis project, the work will be carried out in close collaboration with our colleagues
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Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience, sustainability, and environmental
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environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https://www.nnrc.uio.no/english/index.html The PhD candidate will be part of a dynamic and
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position – Analysis of Integrated Power, Gas and Hydrogen Systems At the Institute of Climate and Energy Research – Energy
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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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connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-in
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stock changes towards higher Tier levels according to the IPCC guidelines and contribute to the further development of spatially explicit approaches, models and monitoring tools for land-use categories
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candidate) PhD program in business economics (at most one candidate) of the Faculty of Economics and Business of KU Leuven (for more information, see https://feb.kuleuven.be/research/PhD/PhD ). As a PhD
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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image analysis to extract cellular morphology and spatial features. Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology. Develop and apply