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the work from start to finish, ensuring rapid adoption, real-world relevance, and a clear pathway from prototype to market deployment. Achievement of the expected progression within Post Doc and Senior Post
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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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to the LabNBook and UNESS platforms (more than 60,000 cumulative users). Close collaboration with AI engineers, doctoral students, post-docs, and academic partners is planned. The candidate will work on the
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post-doc will lead the project activities related to this work, including refining analytic approaches, conceptualizing important research questions, implementing data analysis best practices, analyzing
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Posting Details Position Information Job Title Postdoctoral Scholar Position Number PDS-Pharm-03-26 Vacancy Open to All Candidates Department EHH BSOM Pharmacology Department Homepage https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Post-Doc Research Associate Vacancy ID PDS004238 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Dependent
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applications for the position of at the Faculty of Mechanical Engineering Research Assistant Professor (POST-DOC) under the NCN project No. UMO-2024/53/B/ST8/02908: “Optimization of hydrogen oxy-combustion and
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learn, work, and serve the public at Rutgers locations across New Jersey and around the world. Posting Summary Rutgers, The State University of New Jersey has opening for two (2) Postdoctoral Associates
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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis or machine learning, proficiency in deep learning techniques (CNN, VIT