Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- Harvard University
- Nature Careers
- University of Oslo
- Zintellect
- ;
- INESC TEC
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of British Columbia
- UiT The Arctic University of Norway
- Indiana University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Monash University
- University of Michigan
- Singapore Institute of Technology
- University of Texas at Austin
- Simons Foundation/Flatiron Institute
- University of California
- Carnegie Mellon University
- City of Hope
- Instituto Pedro Nunes
- KINGS COLLEGE LONDON
- Northeastern University
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of Nottingham
- University of South Carolina
- AbbVie
- FCiências.ID
- Genentech
- RCSI - Royal College of Surgeons in Ireland
- The University of Alabama
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of Bergen
- Cornell University
- Curtin University
- Hong Kong Polytechnic University
- INESC ID
- King Abdullah University of Science and Technology
- King's College London
- Lawrence Berkeley National Laboratory
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- University of Leeds;
- Australian National University
- Colorado State University
- Dana-Farber Cancer Institute
- George Mason University
- Instituto Superior Técnico
- Medical College of Wisconsin
- New York University
- RMIT UNIVERSITY
- Simons Foundation
- The University of Southampton
- UCL;
- UNIVERSITY OF SURREY
- University of Alabama, Tuscaloosa
- University of California Davis
- University of Leeds
- University of New South Wales
- University of Oxford
- University of South-Eastern Norway
- University of the Pacific
- Aston University
- Aston University;
- CSIRO
- City University London
- Duke University
- Hobart and William Smith Colleges
- Imperial College London
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Johns Hopkins University
- Korea Institute for Advanced Study
- LINGNAN UNIVERSITY
- Loyola University
- Macquarie University
- Nova School of Business and Economics
- Open Society Foundations
- Plymouth University
- Princeton University
- Purdue University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- SciLifeLab
- Simula Research Laboratory
- Singapore University of Technology & Design
- Stanford University
- Stockholms universitet
- The University of Memphis
- The University of Western Australia
- Trinity College Dublin
- Universidade de Coimbra
- University of Agder
- University of Bath;
- University of Cincinnati
- University of London
- University of Michigan - Ann Arbor
- University of Minho
- 90 more »
- « less
-
Field
-
factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
candidate will join Associate Professor Jean Wen’s research group, conducting independent, high-impact research at the intersection of AI/machine learning, computational biology, and RNA biology. The position
-
-Coding Genome Edits: Develop innovative machine learning approaches for designing precise non-coding genome edits, focusing on how non-coding alterations influence gene regulation and cellular function
-
can contribute through their research, teaching and service to the intellectual diversity and excellence of the Liberal Studies community. Liberal Studies Postdoctoral Faculty Fellows teach two courses
-
4 Sep 2025 Job Information Organisation/Company Instituto Pedro Nunes Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
-
that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
-
of these features for distinguishing attacks from normal behaviour, through statistical and/or machine learning-based analysis. • Analyse the applicability and potential adaptation of these features for anomaly
-
-sensor hyperspectral data for crop disease detection and monitoring. Develop machine learning or physics-informed models to retrieve reliable spectral and/or biophysical features, from multi-scale
-
remodeling. We employ advanced computational and theoretical techniques, such as large scale flow network simulations, machine learning, and methods from topological data analysis, to a broad set of problems
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, and safety profiles, and how these relationships can be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data. 2. Modeling for Regulatory