Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- Simons Foundation/Flatiron Institute
- University of Michigan
- University of Nottingham
- University of Oslo
- Instituto Pedro Nunes
- University of British Columbia
- Genentech
- INESC TEC
- Imperial College London
- UiT The Arctic University of Norway
- AbbVie
- Hobart and William Smith Colleges
- INESC ID
- King Abdullah University of Science and Technology
- Monash University
- Princeton University
- SciLifeLab
- UCL;
- University of Birmingham
- University of California, Los Angeles
- University of Colorado
- University of Minho
- University of Stavanger
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Boston College
- Brookhaven National Laboratory
- Cornell University
- Curtin University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- Hiroshima University
- Hong Kong Polytechnic University
- Indiana University
- KEK
- KINGS COLLEGE LONDON
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- Macquarie University
- National University of Singapore
- Northeastern University
- Queen's University Belfast
- Ryerson University
- SUNY University at Buffalo
- Simula Research Laboratory
- Singapore University of Technology & Design
- The University of Queensland
- UNIVERSITY OF HELSINKI
- Universidade de Aveiro
- University College London
- University of California Los Angeles
- University of Leeds
- University of Leeds;
- University of Nottingham;
- University of Stirling
- University of Sydney
- Vanderbilt University
- 50 more »
- « less
-
Field
-
programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral
-
algorithm development, modeling machine learning, and scientific simulation ▪ Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists ▪ Strong oral and written
-
-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In
-
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
-
testing of machine learning/AI algorithms Integration of radiomic and biological datasets Working closely with Medical Physics colleagues on reviewing recommendations for detection of specific metabolites
-
tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
-
their work through cataloging and documentation, preventive care, processing loans, storage, and facilitation of storage and object access, while receiving hands-on training in professional collection
-
in conducting human behavioural experiments or human-centered field studies. Demonstrated experience in using machine learning, such as deep learning for image processing, or natural
-
of machine learning, simulation-driven testing, and iterative calibration based on real-world datasets. Contribute to scholarly publications, technical documentation, and progress reports required by funding
-
experience in natural language processing, sound-based machine learning, development and deployment of health technology software . interest and previous experience in collaboration with inter-disciplinary