1,459 data-"https:"-"https:"-"https:"-"https:"-"University-of-Ostrava" Fellowship positions
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/CBDS/FQ) Posting Start Date: 26/01/2026 Job Description: Job Description The Duke-NUS Centre for Biomedical Data Science
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*STAR) are looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics, metagenomics, proteomics, and metabolomics data in a new project
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-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The Presidential Postdoctoral Fellowship is proudly supported by generous
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opportunity to collaborate with other researchers affiliated with the Institute of Data and Analytics (IDA), Alabama Mobility and Power (AMP) center and Alabama Transportation Institute (ATI). This position
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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will work across four Work Packages, developing partnerships with schools, project partners and other groups, and using mixed methods to collect and analyse new data and synthesize existing data sets
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, including pathologists, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects
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- “Information cues and consumer decision–making in livestream e-commerce”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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in the research project - “Next generation dynamic mesh optical networking research for data centers”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must
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on musculoskeletal health in occupational and community settings. Design and implement cohort-wide studies using questionnaires, interviews, and real-time task observations. Collect multimodal data via motion-capture