Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
Department: Col of Engineering and Computing Classification: Research Staff 12-month Job Category: Research Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax
-
funded through the EU Research Framework Programme? Other EU programme Reference Number TRB/2025/00048 - CISGUARD WITH NR. 21022 Is the Job related to staff position within a Research Infrastructure? No
-
Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
The Opportunity: We are seeking a highly motivated and experienced Computational Analyst / Bioinformatician / Staff Scientist (AC-TAP) to be a cornerstone and formative member of a new
-
or life sciences, computer science or related field; PhD preferred Two (2) years to three years of experience in developing parallel computing applications, libraries or software tools working with
-
. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions. Benefits at a Glance Want to know your total compensation? Use our calculator to get the complete picture! CU advantage
-
will teach two courses, one in our undergraduate program (TFDP 166C - Rewriting the Screenplay), and another in our MFA Program, (CWPA 268 - Writing the Half-Hour Television Comedy). We are particularly
-
Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
The Department of Mathematics and Computer Science at the University of Southern Denmark invites applications for both tenure-track Assistant Professors and Associate Professors in Computer
-
. What starts here really does change the world. To learn more about the McCombs School of Business, please visit https://www.mccombs.utexas.edu/ Purpose As a member of the McCombs Technology Solutions
-
techniques and demonstrates competency with immunohistochemical procedures to include in situ hybridization reactions. 3% Performs computer data entry, recall, and labeling on complex pathology network (LIS
-
system for parallel imaging with acceleration, which permits faster temporal resolution for functional MRI scans. The scanner has industry-leading gradients for human MRI scanning (i.e., gradient rise time