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Field
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data Development of algorithms for infection and evaluation of infection hotspots in the plant population Coordination of the scientific interface to the project partners with regard to entomological
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publication track record. The appointee will work on projects of ASIAR at the Institute with ASIAR’s team of postdocs and research assistants. He/She will work under Prof. David A. Palmer’s direct supervision
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. or Ph.D. programs around the country, or pursue biomedical startup or industry careers. Responsibilities Research 80% - Run multiple projects in parallel, in collaboration with PhD students and postdocs
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study of natural isotope distributions. Coordinate experiments to study, investigate, test, and/or resolve scientific problems. Partner with research groups across disciplines (i.e., geochemistry, geology
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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"Postdoc application - your name" in the email subject. Successful candidates will have a demonstrated track record of prior research accomplishments. FLSA Status Exempt Apply now Posting Start Date: 4/29/25
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to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About
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for Studying Metabolic Plasticity (ECR 5) For further information please visit: https://www.umg.eu/en/potenziale-entfalten/ecr What we offer: Generous support (your own position, a postdoc (1.0), a PhD student
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novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design