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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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for publication and present findings at international conferences Contribute actively to other projects within the research group Requirements PhD in statistics, epidemiology, or a related discipline Experience in
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Additional Information Eligibility criteria - PhD in astronomy, astrophysics, plasma physics and/or a related field ; - Advanced knowledge in solar physics, space plasmas, or plasma physics. Full expertise in
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 11 days ago
teaching activities of Animal Nutrition, 3) Cooperation in research projects with gut microbiome, metabolome and nutrition aspects as well as co-supervision of PhD and Diploma students, 4) Preparation of own
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research in the Centre. Skills, Experience & Qualifications needed Undergraduate degree and PhD in an appropriate subject area. Knowledge of biodiversity metrics and work with Indigenous and Local
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level skills in the other field. PhD or close to completion PhD in Computer Science, Robotics or related discipline Advanced skills in software development and ROS. Analytical skills to understand complex
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• PhD in environmental sciences, chemistry, biogeochemistry, hydrology, or a related field • Experience in environmental contaminant analysis • Strong data analysis and interpretation skills Preferred
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criteria: A PhD in Chemical Biology, Bioorganic Chemistry, Synthetic Chemistry, or related field. Expertise in organic synthsis, compound characterization, biochemical assays, and cell-based assays. Prior
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invites applications for a vacant Postdoc in Pension Economics at the Department of Economics. The Department of Economics engages in research, teaching, and knowledge transfer within the core areas of
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using a domain adaptation strategy, or he/she will tackle the construction of new models that better exploit the temporal dimension of interferogram series and prior knowledge of the phenomena being