Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- INESC TEC
- Simons Foundation/Flatiron Institute
- University of Oslo
- University of British Columbia
- University of Michigan
- University of Nottingham
- Harvard University
- Princeton University
- UCL;
- Zintellect
- Boston College
- Genentech
- INESC ID
- Imperial College London
- King Abdullah University of Science and Technology
- Macquarie University
- National University of Singapore
- SciLifeLab
- The University of Queensland
- UiT The Arctic University of Norway
- Universidade de Aveiro
- University of California Los Angeles
- University of California, Los Angeles
- University of Colorado
- University of Minho
- University of Stavanger
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Bucknell University
- Cornell University
- Curtin University
- Hiroshima University
- Hobart and William Smith Colleges
- Indiana University
- KEK
- KINGS COLLEGE LONDON
- King's College London
- Monash University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Northeastern University
- Queen's University Belfast
- Ryerson University
- SUNY University at Buffalo
- Singapore University of Technology & Design
- UNIVERSITY OF HELSINKI
- Universidade de Coimbra
- University College Dublin
- University College London
- University of Arkansas
- University of Birmingham
- University of Leeds
- University of Leeds;
- University of Nottingham;
- University of Sydney
- University of Texas at Austin
- Vanderbilt University
- 49 more »
- « less
-
Field
-
-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
-
PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
-
machine learning. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based on the criteria referred
-
Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in
-
with carrying out original research to develop new machine learning approaches to link different scale geochemical-mineralogical-petrophysical datasets within a 4D geological framework. An initial focus
-
developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
-
for developing machine learning models for the automatic identification of species from images collected through electronic monitoring systems (Work Package 3 – Bycatch Monitoring). The candidate will be involved
-
benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
-
21 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1
-
PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop