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English. Desired qualifications: High motivation for a research career, documented primarily via original publications in peer-reviewed scientific journals. Familiarity with Common Data Models (e.g. OMOP
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phenotypic plasticity and/or genetic adaptation. As our model system, we study springtails (Collembola), key terrestrial ectothermic invertebrates of the soil community. The postdoc will be mainly responsible
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from woody plants. Additional optional skills and qualifications: Experience in the regulation of host-pathogen interactions in the grapevine model. Contracting requirements: Presentation of the academic
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
background in reinforcement learning, diffusion models, and geometric deep learning. 3. Candidates with experience working with antibody (or other molecule or material) design will be considered a significant
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in foundational neural models that learn from large unlabeled image datasets, also incorporating context from additional data such as wireline logs or well reports. You are suited for this position
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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effort lies in understanding the workings of the energetic Sun. To attack this goal a concerted effort of numerical modelling, both fluid (extended MHD) and particle oriented, are combined with high
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molecular responses to whole-organism effects, we will combine targeted physiological measurements with multi-omics (proteomics, metabolomics, lipidomics) and phenotypic end-points. As our model system, we
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these exotic systems launch outflows in the form of relativistic jets. In this role, you will work with existing team members to apply and further develop novel techniques for modelling high angular resolution
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or several of the following areas: Groundwater hydrogeochemistry (e.g., reactive transport, tracers, biogeochemical processes), Groundwater flow modelling, Noble gas isotope mass spectrometry, Carbon