324 assistant-professor-computer-science-and-data Postdoctoral positions at Nature Careers
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
AU Viborg, Blichers Allé 20, 8830, Tjele. The affiliation will be with Soil Physics and Hydropedology, Department of Agroecology. More information can be obtained from Associate Professor Shubiao Wu
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, production efficiency, and milk production. Contact Further information on the position may be obtained from Head of research unit, Professor Peter Lund, phone: +45 4015 7673, email: Peter.Lund@anivet.au.dk
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-record within the field of observational research. Experience with programming is preferred, and some experience with data science or AI will be considered a strength. Further, the candidate should
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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University, Ole Worms Alle 3, DK-8000 Aarhus C. The affiliation will be with the Department of Agroecology. More information can be obtained from Professor Tommy Dalgaard (tommy.dalgaard@agro.au.dk , phone +45
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
molecules. The project is based in the team of professor Gregers Rom Andersen at the department of Molecular Biology and Genetics (MBG). Funding for the project is secured by a major grant from the Novo
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, the Postdoctoral Researcher will be in charge of Assisting Professor Neframi in coordinating the Doctoral Training Unit on Green and Digital Transitions in the Single Market (DTU-GREITMA) Assisting in organizing
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Synthetic Biology, Molecular Plant Pathology, Comparative Genomics, Transposon Biology, Cell biology, or Related Field High level analytical capability Ability to communicate complex information clearly
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and