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power. The work involves quantifying conflicts and synergies between different sustainability goals in the forest landscape using simulation and optimisation. The analysis will be based on spatially
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to: Machine learning and artificial intelligence for cancer research. Foundation models and large-scale biological learning systems. Single-cell and spatial multi-omics analysis. Computational genomics and
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eDNA sampling as appropriate Analysis support (e.g. data recording, organizing, quality control). Undertake and assist in statistical analyses and producing result figures, maps and result summaries
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Application/interview Coding experience using relevant statistical package(s), e.g. Stata, R, Python Essential Application/interview Experience in data visualisation (e.g. spatial analysis, data mapping, and
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evolutionary patterns (e.g., conservation genetics, functional genomics), spatial dynamics (e.g., landscape genetics, phylogeography), and/or community-scale processes or community composition, such as plant
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research. Interest in pulmonary biology, physiology, immunology, or translational biomedical research. Exposure to or interest in emerging genomic technologies, including single-cell and spatial
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» Statistics Medical sciences » Other Researcher Profile Recognised Researcher (R2) Application Deadline 30 Sep 2026 - 21:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job
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Sciences Compensation Plan. UC Salary information can be found here: https://www.ucop.edu/academic-personnel-programs/compensation/2025-26-academic-salary-scales.html Application Window Open date: February
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development of tailored bio-inks, enabling control over graft architecture as well as the spatial distribution of cells and bioactive signals. This program is part of a strong translational dynamic, with
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prior work on wastewater samples or water analysis, experience in plant culture and growth, synthesis of quantitative and qualitative data, scholarly review and compiling datasets; statistical and spatial