Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- Harvard University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nature Careers
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- Cornell University
- INESC ID
- University of British Columbia
- University of Stavanger
- OsloMet
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of Nottingham
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- RMIT UNIVERSITY
- The University of Queensland
- UNIVERSITY OF SURREY
- University of Michigan
- Indiana University
- Macquarie University
- NTNU Norwegian University of Science and Technology
- Northeastern University
- Queen's University Belfast;
- Singapore University of Technology & Design
- University of Oxford
- University of South Carolina
- University of South-Eastern Norway
- ;
- ADELAIDE UNIVERSITY
- CSIRO
- Carnegie Mellon University
- Centro de Engenharia Biológica da Universidade do Minho
- Cranfield University
- FCiências.ID
- Humboldt-Universität zu Berlin
- Johns Hopkins University
- King's College London
- LINGNAN UNIVERSITY
- SUNY University at Buffalo
- The University of Alabama
- The University of British Columbia (UBC)
- The University of Southampton
- Trinity College Dublin
- University of Basel
- University of Kansas Medical Center
- University of Lund
- University of Minho
- University of Texas at Austin
- Zintellect
- AALTO UNIVERSITY
- Aarhus University
- AbbVie
- American University
- Amgen
- Barnard College
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- CRANFIELD UNIVERSITY
- Central Michigan University
- City of Hope
- Cranfield University;
- Dana-Farber Cancer Institute
- Duke University
- European Space Agency
- Flinders University
- Helsinki Institute for Information Technology
- Imperial College London
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Instituto de Telecomunicações
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- James Cook University
- KU LEUVEN
- King Abdullah University of Science and Technology
- King's College London;
- Leibniz
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institutes
- Monash University
- Montana State University
- Nansen Environmental and Remote Sensing Center
- National Laboratory of Energy and Geology
- New York University
- OCAD University
- Oxford Brookes University;
- Politécnico de Leiria
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- RMIT University
- Royal Holloway, University of London;
- Ryerson University
- School of Sciences
- SciLifeLab
- Simula Research Laboratory
- Simula UiB
- 90 more »
- « less
-
Field
-
clinical research with an emphasis on novel technology development. Why should I apply? Under the guidance of a mentor, you will learn and gain hands-on experience to complement your education and support
-
experience – 40% Evaluation of academic performance and/or relevant professional experience in machine learning, AI, software engineering, or security-related domains. Research track record and scientific
-
and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
-
). The ideal candidate brings a strong machine learning foundation, curiosity about sound and music computing, and enthusiasm for collaborating with PhD students and postdocs. You will help combine individual
-
duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
-
Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
-throughput screening; - Cell painting assays and high-content image-based analysis (e.g., CellProfiler, Harmony); - Machine learning models for antimicrobial activity prediction (e.g., Weka); - Strong
-
numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
-
dissemination, and translational opportunities Job Requirements: PhD in Chemistry with a focus on computational/peptide/organic/machine learning or a closely related discipline At least one first-author
-
scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
-
hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk