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excited about building and deploying systems. Work with the PI in mentoring PhD and Master students. Be self-motivated and driven, creative, team-oriented, and able to work efficiently in a
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in cells and using an age-dependent murine disease model to analyze neuropathogenic mechanisms. ● Perform POWV experiments and data analysis following in primary cells and cell lines in BSL2/BSL3
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application with Mrs Veronique Martin-Lang, Chief Engineer Data Science and Analytics, and Mrs. Eman Ahmed and Mrs Maja Adzaga, Data Scientists and Marcel Wirtz ,R&D Grant and Partnership Manager, all four from
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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undergraduate students). Additional duties as assigned. Minimum Qualifications Must have completed all the requirements for a PhD. in physical science, mathematics/ data science, or engineering at the time of
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proposals to advance their scientific career. More information about the Department of Applied Physiology and Kinesiology can be found here: http://hhp.ufl.edu/about/departments/apk/ Expected Salary
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Job Description Required Qualifications: PhD (or foreign equivalent) in Biotechnology or a closely related field. Demonstrated ability to plan and coordinate research workflow and work on data generated
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the portal (to minimise repetition of information): In the ‘JobbNorge-application field’: Only write your name. In the ‘JobbNorge-CV form’: Only fill in your 1) personal details, 2) information about your PhD
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into consideration. The following education, experience, and expertise are required: A PhD in biomedical engineering, (bio-)physics, applied physics, materials science, (organic) chemistry, or equivalent Electrical
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projects Manage research projects and prepare project deliverables Provide guidance to Master students and PhD students who submit work to conferences or journals Your profile PhD degree in Information