2,256 data-"https:"-"https:"-"https:"-"https:"-"Kiel-University" Postdoctoral positions
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Posting Details Position Information Posting Number PG191586PD Position Number 00111723 Position Type Post Doc FLSA Departmental Information Department ID 150401 - Forestry & Environmental Resources
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outreach activities. The postdoctoral fellow will join a research group with access to large, administrative data sets and prior experience with big data and administrative data will be advantageous. NMBU
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projects Analysing complex data and generating original research ideas Publishing in high‑impact journals and presenting at international conferences Contributing to group strategy, funding applications, and
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Pharmacy
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methodology, conduct research in the field of mammalian paleontology. * Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze
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join us. At DTU Chemical and Biochemical Engineering, you will operate at the forefront of computational modelling, integrating high‑fidelity CFD with advanced compartment models and modern data‑driven
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learning algorithms and creating predictive models. This role will contribute to evidence-based processes and procedures for program quality review and assessment of outcomes data as well as develop
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
high-throughput screening. Perform sophisticated transcriptomic data analysis (e.g., RNA-seq, single-cell RNA-seq) to identify novel biomarkers and therapeutic targets. Prepare high-quality manuscripts
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr