53 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Institute of Cellular Biology and Pathology "Nicolae Simionescu"
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Clinical Research Data Specialist - 38411 University Staff Description University of Colorado Anschutz Medical Campus Department: Medicine – Division of Infectious Diseases Job Title: Clinical
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EPSRC Centre for Doctoral Training in Diversity in Data Visualization 8 Studentships Available Change what we can see. See what we can change. We are recruiting a new cohort of fully funded PhD
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20 Jan 2026 Job Information Organisation/Company Paul Scherrer Institut Villigen Research Field Biological sciences Chemistry Physics Researcher Profile Recognised Researcher (R2) Positions Postdoc
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analysis, as well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- and
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the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK Visas and
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application
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, including with the T.H. Chan School of Public Health, Law School, Business School, and Faculty of Arts and Sciences. Additional Information: This is a full-time position that will combine the directorship and
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(sleep stage) classifiers based on the data available to implanted DBS systems, with the ultimate goal of enabling brain state optimised therapy. Specifically, this means developing sleep staging
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, as well as in an inter-institutional setting (national and international). Further information may be obtained from Prof. Renaud Du Pasquier (doyen.fbm@unil.ch ), Dean of the FBM, and from Prof. Pierre
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), deep learning, and multimodal data integration. The ideal candidate will be able to design and apply AI/ML approaches to high-dimensional datasets, including single-cell omics, chromatin profiling, and