Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
- and Q-band EPR spectrometer. The candidate will be responsible for designing, building, and optimizing instrumentation and methods to investigate complex catalytic systems — including both synthetic and
-
of these studies is to develop optimized treatment strategies in rheumatic diseases and to bring engineered Treg cell approaches and improved B cell depleting cell products into clinical trials. The joint
-
Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Objective/Overview: CUHCC’s mission is to seek health equity in our community by advancing the well-being of diverse
-
with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 24 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
-
discussed to optimize the work-life balance (32-38 hours per week). Coming from abroad We are a globally leading university in the life sciences. The themes we deal with are relevant to everyone around the
-
statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc. The positions will be suitable for candidates with an interest in high
-
Universities, Clinical Research Center personnel, UNeHealth/SPA, accounting and IRB personnel to ensure optimal outcomes. Directs the research study team. Position Details Additional Information Posting Category
-
Term Salary Grade E.89 Posting Detail Information Position Summary Prof. Kris Tjaden in the Department of Communicative Disorders and Sciences seeks a Postdoctoral Associate to work closely with PI
-
Term Salary Grade E.89 Posting Detail Information Position Summary Prof. Kris Tjaden in the Department of Communicative Disorders and Sciences seeks a Postdoctoral Associate to work closely with PI
-
project aims to generate pivotal information on how to optimally combine bacteriophages and antimicrobials by using several infection models – in silico, in vitro, ex vivo, cell culture, patient-derived