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/postdoc-for-research-programme-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/359878/ Work Location(s) Number of offers available1Company
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applications for the process industries with particular emphasis on delivering step change improvements in process performance; Informatics for process and product development with a background in big data
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at Dumbarton Oaks and other special collections, as well as large digital repositories such as iDigBio and the Biodiversity Heritage Library. It is expected that the research will also generate public-facing
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of the educational programs within the School of Medicine (SOM). This includes, but is not limited to, over 4,000 students and learners enrolled in SOM degree seeking programs (i.e.: MD, PhD, master's and dual-degree
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eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines. With this appointment
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Nantes Université, École Centrale Nantes, CNRS, GeM, UMR 6183, Nantes F-44000, France | Nantes, Pays de la Loire | France | 18 days ago
/offre/2817 Funding category: Contrat doctoral environ 2300 euros brut mensuel PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137272 Requirements
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development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
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6 Mar 2026 Job Information Organisation/Company Nantes Université Department CEISAM UMR-CNRS 6230 Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains