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to prevent and/or mitigate the impact of E. coli and Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large
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scientific publications; (4) a transcript of graduate school grades and an abstract of the PhD thesis; (5) name and contact information of three professional referees. Review of applications and interview
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(myofiber) handling Experience in handling, processing, analysing and interpreting large data sets Experience in mentoring, leading and organising junior laboratory members and laboratory arrangements (e.g
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. Supervise BSc, MSc, and potentially PhD student projects that are relevant to your research Contribute to teaching courses relevant to your project at the department Expand our current data infrastructure
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 36 minutes ago
and completion of (or currently completing) a clinical internship in an APA accredited program Experience in quantitative (statistical, mathematical, computational) research with large data sets
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, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several
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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information Employment
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be employed by the Department of Biology at Aarhus University and work in the Section for Microbiology at this department. The section employs 12 permanent scientific staff and ~20 PhD students and
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work here You will work at Food Quality and Design group, which is a large multidisciplinary chair group. The vision of the group is that health, sustainability, and quality aspects of food products
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA