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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date
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; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved transcriptomics and
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related fields to apply for this exciting opportunity in the Brown Group in collaboration with EDF UK to develop skills in agent based modelling spatial-analysis, optimisation and economic analysis, as
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in health sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 May 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status
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production is established, they will utilise the polymer for 3D printing of PHA-based patches with controlled temporal and spatial drug release in the EPSRC project. This work will be in collaboration with
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visualization of high-dimensional omics data from the field of bioeconomics, and in the modeling, simulation, and engineering of biomolecular systems, including enzymes. Apply your data science skills to real
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ferroptosis, metabolism, and inflammation. What You Bring PhD in immunology, metabolism, regeneration, or cell biology (0–3 years post-PhD preferred). Proficiency in in vivo models, immune–metabolic signaling
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progression and therapy resistance. This position will leverage cutting-edge approaches including spatial transcriptomics, CRISPR-based functional genomic screening, and patient-derived xenograft (PDX) models
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statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging, and clinical covariates. Apply
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systems characterized by a high spatial and temporal variability of energy supply and demand. We look forward to your application. We are offering an interesting PhD position – Learning Tailored Iterative