179 phd-computer-science-"Multiple"-"Prof"-"Washington-University-in-St" Fellowship positions
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Field
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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Scope of Job The Puentes Postdoctoral Fellow is a three (3) year grant-funded position under the U.S. Department of Education’s Title V Developing Hispanic Serving Institutions (HSI) program. This is a
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duties as assigned by the Centre Director and Assistant Director Job Requirements: PhD in Computer Science, Cognitive Neuroscience, Life Sciences, Engineering or a related field Minimum 3 - 5 years
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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technology platform) to design and test resilience- and sustainability-increasing strategies for the built environment. The Research Fellow will contribute to developing the Minority Report computational
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Qualified candidates will have completed a PhD within 5 years in a relevant discipline such as population and public health, occupational health/epidemiology, occupational science, or any health science field
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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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by the EU programme Horizon Europe. The main aim of the project is to unveil the role of the Epstein-Barr virus (EBV) in the onset and progression of the Multiple Sclerosis (MS) disease. The position
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology