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on within host mathematical and evolutionary modeling to understand HIV persistence and cure. At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values
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cycling. Previous experience applying Bayesian inference, data assimilation, inverse modeling, and/or probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in
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are seeking postdoc (M/F) in modelling of geomicrobiology (PhD-level position) in Marseille, France, to work on the European Research Council funded Starting Grant project 'SIESTA: The Role of Microbial
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Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking postdoc (M/F) in modelling of geomicrobiology (PhD-level position) in Marseille
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probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance an advantage. The candidate must have proof of excellence in research as demonstrated
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in this? You hold a PhD in chemical ecology or a closely related field. You have experience in research involving live insects and chemical analyses (e.g., GC-MS, LC-MS). You are skilled in designing
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the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a related field • Strong quantitative background (e.g. ecological theory
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this, we apply a combination of cutting-edge genomic analyses and laboratory experiments to interrogate multi-ethnic patient samples, laboratory cell lines and animal models. Ongoing and future projects
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plants. • Knowledge of 3D modelling. • Strong mathematical and analytical skills. • Excellent organizational and project management abilities to ensure timely delivery of outputs. • Excellent
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
of Oldenburg Your Profile PhD in marine ecology, finalized by the start of the project Advanced statistical modeling skills including analysis of biodiversity time series and functional traits, evidenced by