436 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at Nature Careers in United States
Sort by
Refine Your Search
-
visually-guided decision-making in the fruit fly, Drosophila melanogaster . More information about Dr. Card and the lab’s research can be found by visiting https://www.hhmi.org/scientists/gwyneth-card About
-
. Applicants must qualify for medical licensure in the State of Tennessee. To A pply : Please submit a CV directly online at https://talent.stjude.org/careers : For more information: Andrew Smith, MD PhD Chair
-
, scholarly or creative activities, and University/public service. Qualified applicants should apply via UC Davis Recruit at: https://recruit.ucdavis.edu/apply/JPF07245 The UC Davis Health School of Medicine is
-
more than 48,000—position the College of Biological Sciences as a cornerstone of UC Davis's mission and a catalyst for life-changing scientific breakthroughs. For more information about the UC Davis College
-
. NARESH K.VASHISHT COLLEGE OF MEDICINE (https://medicine.tamu.edu ): More than 500 faculty, postdoctoral fellows, graduate students and staff are engaged in a variety of research fields, from the study of
-
experience and approaches to research, teaching, and service/engagement 3. Curriculum vitae 4. Sample publication or creative product 5. Contact information for three (3) professional references (address
-
information for three references.You can apply or view full job details here: https://osu.wd1.myworkdayjobs.com/OSUCareers/job/College-of-MedicineOffice-of-Health-Sciences/Faculty---Department-of-Surgery
-
understanding of previously underexplored biology, while contributing to the education and training of the next generation of diverse scientists. More information about the lab and their work can be found by
-
@intl.zju.edu.cn Phone: +86 571 87572816 ZIBS (Zhejiang University International Business School): Ms. Zhu Email: zibs-hr@intl.zju.edu.cn Phone: +86 571 87572366 For more information iZJU: https
-
. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy