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microbial communities. In this role, you will develop hybrid species distribution models that combine climate and landscape data to predict how microbial taxa niches shift under changing land use and
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projects. Specifically, the candidate will work with the identification and quantification of the origins of plastic pollution in the Arctic and its distribution in marine ecosystems. The project will be
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characterization of deep-water habitats, GIS spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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nerve stimulation The candidate must possess excellent verbal and written communication skills, be strongly motivated, and work well in a team setting. A rough effort distribution for this position is
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Skip to main content Recruit Home Open Recruitments Visiting Researcher (JPF10537) Visiting Researcher Apply now to Visiting Researcher Job #JPF10537 Computer Science / Henry Samueli School Engr & Ap
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to our administrative coordinator Ursula Münster, ursula.muensterspam prevention@uni-tuebingen.de . Project-related enquiries may also be sent to this address. General information on hiring processes and
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spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and can contribute to more than one
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 13 days ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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openings available. Internal Number: 362548 Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or