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the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling techniques. This strand would involve adapting in-house models for Positron Emission Tomography data to other
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phasing. • Ensure the implementation of the project methodology: thin-layer excavation, micro-spatial recording, full dry-sieving, on-site sediment sorting and systematic sampling of charcoal-rich
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will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
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large datasets and a familiarity with current leading model systems and transcriptomic/proteomic assays that use current spatial and single cell technologies. Skills Essential: C1 Programming skills in
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power
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. You can address your application to Tatiana Filatova. We will contact shortlisted candidates for a two- … Where to apply Website https://www.academictransfer.com/en/jobs/362693/phd-position-on-assessing
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PhD Positions Application Deadline 18 Jul 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Other Type of Contract Extra Information until 31.12.2029 Job Status Full-time Offer Starting Date
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to support sustainable offshore energy development and maritime spatial planning. This PhD position is embedded in the NWO-ORC project NO-REGRETS, coordinated by Royal Netherlands Institute for Sea Research
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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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capable of tracking the spatial and temporal dynamics of every individual cell within in vitro microtumors. The PhD candidate will divide their time equally between these two research activities. During