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about the position The successful applicant will join Julien Resseguier’s “Spatial Immunology & Nanomedicines” group and become a key member of the Comparative Immunology team at the Department
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heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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to millennia. A central objective is to improve the representation of marine carbon, nutrient cycling and microbial processes in Earth System Models while increasing spatial model resolution to capture key
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timescales from days to millennia. A central objective is to improve the representation of marine carbon, nutrient cycling and microbial processes in Earth System Models while increasing spatial model
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experience in the scientific area of this international selection tender of at least 5 years. b) other requirements that the jury considers relevant within this international selection tender: A PhD in
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, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows Quantitative modeling and statistical inference. Applicants
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(Midavaine et al., Science, 2025). Building on this foundation, the lab combines mouse genetics, single-cell and spatial transcriptomics, in vivo calcium imaging, sensory behavioral assays, and molecular
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 22:56 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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-efficiency spectral tuning; spatial/spectral demultiplexing via microlens integration; low-power tunable circuit design; and low-loss silicon nitride (Si₃N₄) components for visible and near-infrared. The role