Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Stanford University
- Rutgers University
- Princeton University
- New York University
- University of Oxford
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Cornell University
- NEW YORK UNIVERSITY ABU DHABI
- University of South Carolina
- Duke University
- ;
- Loyola University
- University of Miami
- University of North Carolina at Chapel Hill
- Stony Brook University
- Argonne
- Technical University of Denmark
- University of Washington
- Pennsylvania State University
- Yale University
- Texas A&M University
- University of Kentucky
- The Ohio State University
- Brookhaven Lab
- Carnegie Mellon University
- Northeastern University
- Technical University of Munich
- University of Minnesota
- Medical College of Wisconsin
- Oak Ridge National Laboratory
- University of Florida
- University of Texas at Arlington
- Bowdoin College
- Baylor College of Medicine
- Baylor University
- Chalmers University of Technology
- Georgia Southern University
- KINGS COLLEGE LONDON
- Leibniz
- Purdue University
- SUNY University at Buffalo
- Texas A&M AgriLife
- University of Lund
- University of Maine
- University of North Texas at Dallas
- Virginia Tech
- AALTO UNIVERSITY
- King Abdullah University of Science and Technology
- U.S. Department of Energy (DOE)
- University of Central Florida
- University of Southern Denmark
- Utrecht University
- Aarhus University
- Emory University
- The University of Arizona
- The University of Iowa
- University of California
- University of Houston Central Campus
- University of Luxembourg
- University of Maryland
- University of Oslo
- University of Twente
- University of Tübingen
- University of Virginia
- Villanova University
- European Space Agency
- Heriot Watt University
- Kennesaw State University
- King's College London
- McGill University
- National Center for Theoretical Sciences
- National Renewable Energy Laboratory NREL
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University College Cork
- University of British Columbia
- University of North Carolina Wilmington
- University of Texas at Dallas
- Auburn University
- CWI
- Empa
- Forschungszentrum Jülich
- Fred Hutchinson Cancer Center
- Free University of Berlin
- Harvard University
- Institut Pasteur
- Linköping University
- THE UNIVERSITY OF HONG KONG
- Texas A&M AgriLife Extension
- The University of Memphis
- University of Arkansas
- University of California, Merced
- University of Cambridge
- University of Colorado
- University of Groningen
- University of London
- University of Nevada, Reno
- University of Oklahoma
- University of Sydney
- 90 more »
- « less
-
Field
-
, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service
-
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
-
-on experience with CRISPR. • Proficiency in electrophysiology, calcium imaging, and/or multielectrode arrays. • Familiarity with machine learning, imaging analysis, and/or bioinformatics. Online Application
-
decays, searches for supersymmetry and other new phenomena, and measurements of rare standard model processes. We vigorously pursue the use of machine learning techniques for data analysis. Candidates must
-
R or equivalent skills in another relevant language. We are not expecting you to be an expert in all forms of computer simulation, Large Language Models, or machine learning etc, but a working
-
following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
-
the ability to work together with colleagues and teach and mentor students from diverse backgrounds and perspectives. To apply, candidates should submit a cover letter, curriculum vitae, and contact information
-
. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
-
experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
-
Sciences, who develop, manage, and refine machine learning techniques for identifying copyists; Participation in the dissemination of research results through presentations and publications; Data management