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to restore and repurpose the former Lolli site. The research fosters advanced legal expertise in managing cultural enhancement processes, spatial utilization, contract management, local partnerships, and the
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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) Positions PhD Positions Application Deadline 30 Nov 2026 - 00:00 (Atlantic/Reykjavik) Country Iceland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU
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The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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prediction Integrating various types of spatial single-cell data, such as gene expression and protein expression data Developing image analysis methods for histopathological specimens using AI-based models As
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Unlocking Proton Circuitry in Biology via Ultrafast Spectroscopy and Bioelectronics School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof Nadav Amdursky
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model validation. Strong Python skills, experience with deep learning frameworks such as PyTorch, and tools for processing complex and/or spatial data. Initial experience in teaching, workshop
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findings in a PhD thesis and peer-reviewed articles and give presentations at consortium meetings and (international) conferences. Where to apply Website https://www.academictransfer.com/en/jobs/364083/phd
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental