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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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Position Summary The Department of Plant, Soil & Microbial Sciences (PSM) at Michigan State University (MSU) invites applications for a fixed-term Teaching Specialist position with an anticipated start date
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sciences, social sciences, and humanities. More information: https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/projects/SFB1759 The planned position is offered at the Freie Universität Berlin
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fungal biology and they include research and training activities encompassing studies of microbial physiology and genetics, the immune response to infection based around a central theme of interrogating
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microbial community development. The student will be part of the Data driven Life Sciences [DDLS] PhD research school. Keywords: PhD position, Metagenomics, human gut microbiota, shotgun metagenomics
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training in Biological Sciences at the Stazione Zoologica Anton Dohrn in Naples (Italy) Applications are invited from suitably qualified postgraduate candidates for the following project: Microbial
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, machine learning and Quantitative Microbial Risk Assessment Microsimulation modelling, generating evidence directly relevant to national food safety policy. You will join a PhD student cohort with NIHR
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, natural capital management and future food systems. It includes the Centre for Soil, Agrifood and Biosciences which has expertise in soil, plant and microbial systems across scales, with the Cranfield
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microbial communities and aquatic organisms. Collection of environmental samples (water and sediment) and aquatic organisms, DNA extraction, and metagenomic analyses, including high-throughput sequencing and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, and microbial testing. Ability to accurately document test results in accordance with GDP and quality standards. Ability to review analytical data, identify trends, and support investigations. Strong