Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Aarhus University
- University of Houston Central Campus
- Argonne
- NEW YORK UNIVERSITY ABU DHABI
- ;
- Duke University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- Technical University of Munich
- University of Kentucky
- University of Luxembourg
- University of Tübingen
- Heriot Watt University
- Northeastern University
- Princeton University
- University of Copenhagen
- University of Groningen
- University of Massachusetts
- University of Oslo
- University of Oxford
- University of Southern California
- University of Southern Denmark
- University of Texas at Dallas
- AALTO UNIVERSITY
- Adam Mickiewicz University, Poznań
- Cornell University
- Florida International University
- Leibniz
- Linköping University
- MASARYK UNIVERSITY
- New York University
- New York University in Abu Dhabi
- New York University of Abu Dhabi
- THE UNIVERSITY OF HONG KONG
- The Ohio State University
- UNIVERSITY OF VIENNA
- University of British Columbia
- University of Cambridge
- University of Houston
- University of Kansas
- University of Minnesota
- University of Nebraska Medical Center
- University of Oregon
- University of Sydney
- University of Texas at Austin
- University of Texas at El Paso
- University of Virginia
- University of Warsaw: Faculty of Mathematics, Informatics and Mechanics
- Virginia Tech
- 41 more »
- « less
-
Field
-
Job Description We offer an exciting postdoc position dedicated to developing methods for detecting performance disparities in foundation models for fetal ultrasound and understanding what causes
-
in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
-
to develop innovative methods and actionable tools for detecting, analyzing, and preventing vulnerabilities in supply chain systems, leveraging state-of-the-art AI and ML techniques to improve overall security
-
considered an asset Training and experience in quantitative empirical methods Good command of multivariate and complex statistical methods International publications in peer-reviewed journals and / or book
-
perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position
-
methods such as gas chromatography, Karl-Fischer (for water), titration methods for TAN/CAN, elemental analysis etc. Synthesis and characterization of catalysts. Writing of scientific papers and attending
-
experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
-
, Luxembourgish and / or French will be considered an asset Interest in empirical social research, excellent command of quantitative and / or qualitative empirical methods; openness to mixed methods research
-
methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease. The successful applicant will join an
-
the following primary tasks: Develop inspection methods for assessing component condition and material quality Perform testing and analysis to support remanufacturing decisions, including Elemental composition