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Department of Data Science and Artificial Intelligence Postdoctoral Fellow (Ref. 260116015) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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to work independently, establish new techniques and present data (scientific writing and oral communication) Fluency in both oral and written English At least basic German language knowledge Experience with
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to end users, including commercialisation of UQ intellectual property. Apply and promote best‑practice research methodologies. This is a research focused position. Further information can be found by
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. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements. This role
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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career development. For more information about Dr. You’s lab, please visit here. As a successful candidate, you will: Lead independent and collaborative projects investigating the molecular and cellular
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 1 day ago
on clinical data for device performance evaluation, durability issues in implants, and insufficient tools for predicting clinical outcomes. To fill these gaps, the program develops in vitro, in vivo, and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 1 day ago
understandable and accessible science-based information about the products overseen by CDRH. CDRH facilitates medical device innovation by advancing regulatory science, providing industry with predictable
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. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential