Sort by
Refine Your Search
-
: Apply Position Description POSITION: Part-time Lecturing Fellow (non-regular rank), to teach a total of one course and lead one large-scale, year-long program. The Lecturing Fellow serves as a core member
-
. Department of Pharmacology & Cancer Biology is looking for a Research Scholar to work alongside Dr. Michael Kastan in research projects. Minimum Requirements: PhD in Pharmacology, Molecular Biology, or similar
-
multiple affiliations. Be You. Minimum Requirements: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof
-
research teams in their development of high-impact knowledge products, including policy briefs, blogs, white papers, and peer-reviewed publications, and high-impact collaborations, such as learning networks
-
, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
-
the position is filled. REQUIRED EDUCATION AND EXPERIENCE: DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required
-
, government or corporate setting. They would also have a PhD or commensurate industry experience/expertise in a Cybersecurity related discipline, such as Computer Engineering, Computer Science, or Electrical
-
, and safety; perform clinical research as required. Work Performed Perform calibration and QA for treatment machines and other supporting equipment/services. Perform IMRT/VMAT, SRS/SBRT, and 3 D
-
the nation. The school consists of four departments with 130 tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its
-
data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental