189 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
not available for this position. KEY RESPONSIBILITIES: Develop and deliver innovative educational programs using technology and other effective teaching methods to support learning and behavior change
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
position as Teaching Assistant Professor to teach in our undergraduate program, with appointment beginning July 1, 2026 . This is a nine-month position with the responsibility to teach six courses per
-
• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
-
mediators using in vivo mouse models. The position has a duration of two years. The project group is part of a vibrant and inclusive research environment (https://www.ous-research.no/kt/) at the Department
-
functions. Instructors are needed to teach classes depending upon need and available funding. Applications are accepted on a continual basis (unless otherwise indicated) and will be maintained in pool for two
-
Ankermann Email: Postal Mail: Einstein Institute of Mathematics Edmond J. Safra Campus The Hebrew University of Jerusalem Givat Ram. Jerusalem, 9190401, Israel Web Page: https://mathematics.huji.ac.il/
-
on your paycheck. The University of Colorado provides generous leave, health plans, and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125
-
and/or related functions. Instructors are needed to teach classes depending upon need and available funding. Applications are accepted on a continual basis (unless otherwise indicated) and will be
-
to provide non-tenurable level instruction and/or related functions. Instructors are needed to teach classes depending upon need and available funding. Applications are accepted on a continual basis (unless
-
. The project integrates synthetic organic chemistry, kinetic analysis, automation, and machine learning to establish next-generation mechanistic workflows for asymmetric organocatalysis. The project advances