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coastal sediments and their role in polar biogeochemical processes. Your main responsibilities will include: Sampling and geochemical analysis of Antarctic sediment samples Incubation experiments and stable
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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interferometry, etc.), (v) Predictive modelling of coupled phenomena (reactive transport, rock-water interactions, etc.), (vi) Uncertainty quantification (Monte Carlo, meta-modelling), and (vii) Risk analysis. The
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Sciences, Faculty of Medicine, University of Oslo. PhD Candidate in advanced immune competent liver models Apply for this job See advertisement About the position The Hybrid Technology Hub CoE (https
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
insights from cutting-edge imaging and sensing technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world
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philosophical analysis. Current case studies examine steroid hormone use by bodybuilders (PI-led) and DIY gender-affirming care (Postdoc-led). Your personal sphere of influence: The PhD Project: The successful
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. The project will provide training in paleoceanography and paleoclimate research, including the development and interpretation of proxy records, quantitative analysis of environmental data and integration
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successful. To be eligible, you must be an Australian or New Zealand citizen or Australian permanent resident. Please see other eligibility requirements and other details at the following link. https
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debiased machine learning Heterogeneous treatment effect estimation Longitudinal and survival analysis Propensity score methods and overlap weighting Transportability and generalisability Sensitivity
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis