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Field
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and the spatial distribution of potential reservoirs. This PostDoc position is part of the PEPR « sous-sol, bien commun » project IDYLLE (Impact of Lithosphere Dynamics and Basin Evolution
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 9 days ago
/neuroendocrine research Experience with immunohistochemistry, RNAscope/in situ hybridization, metabolic phenotyping, or spatial molecular approaches Experience with single-cell/single-nucleus genomics and/or
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functionality in response to global changes and restoration efforts at large spatial and temporal scales is essential to understand where action is needed and to monitor restoration success. Developments in
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interdisciplinary in nature, including mathematical biology, mathematical geosciences, applied partial differential equations, environmental and spatial statistics, scientific computing, and the scholarship
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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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Researcher (R2) Positions Postdoc Positions Application Deadline 1 Nov 2026 - 01:00 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date
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17 Sep 2026 Job Information Organisation/Company University of Minho Research Field Environmental science » Earth science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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www.musec.ethz.ch Job description You will lead all single-cell and spatial transcriptomics work, working closely with an international team of PhD students and postdocs and in direct collaboration with Prof. De Bock
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Postdoc: Subsurface Freshwater Storage and Groundwater Modelling Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 8
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traits and structure regulate below-ground microclimate and microbial carbon cycling across spatial scales. You will combine controlled experiments, field observations, remote sensing data, ecosystem flux