Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- City of Hope
- National University of Singapore
- Nanyang Technological University
- Zintellect
- University of Oslo
- Center for Drug Evaluation and Research (CDER)
- Monash University
- University of British Columbia
- Center for Devices and Radiological Health (CDRH)
- University of Arkansas
- University of California
- University of Nottingham
- Dana-Farber Cancer Institute (DFCI)
- INESC TEC
- King's College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Queensland
- University of Bergen
- University of Michigan
- European Space Agency
- Florida Atlantic University
- Harvard University
- Indiana University
- King Abdullah University of Science and Technology
- The University of Southampton
- Tokyo University of Science
- Universidade de Coimbra
- University of Agder
- University of Birmingham
- University of Maryland, Baltimore
- University of New South Wales
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Barnard College
- CIC bioGUNE
- CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias)
- Center for Biologics Evaluation and Research (CBER)
- Central Michigan University
- Centro de Engenharia Biológica da Universidade do Minho
- Cori Institute of Molecular and Computational Metabolism
- Cornell University
- Francis Crick Institute
- Hong Kong Polytechnic University
- INESC ID
- Imperial College London
- Institute of Agrochemistry and Food Technology (IATA-CSIC)
- Institute of Cosmos Sciences of University of Barcelona
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Lawrence Berkeley National Laboratory
- Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho
- Max Planck Institute of Biochemistry, Martinsried
- Max-Planck-Institut für Bildungsforschung
- Mayo Clinic
- Middlesex University
- Middlesex University;
- NTNU - Norwegian University of Science and Technology
- National Center for Toxicological Research (NCTR)
- Northeastern University
- Northwestern University
- Queen Mary University of London
- Research Center for Molecular Medicine (CeMM), ÖAW
- SUNY University at Buffalo
- School of Sciences
- SciLifeLab
- Tampere University
- Technical University of Munich
- The Francis Crick Institute
- The Institute of Cancer Research;
- UCL;
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- University College London
- University of Algarve
- University of California, San Diego
- University of Hertfordshire;
- University of Idaho
- University of Leeds
- University of Leeds;
- University of North Carolina at Chapel Hill
- University of Nottingham;
- University of Saskatchewan
- University of South-Eastern Norway
- University of Surrey
- University of Texas at Austin
- University of Tübingen
- Western Norway University of Applied Sciences
- Łukasiewicz PORT
- 79 more »
- « less
-
Field
-
, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc
-
As Senior Computational Biologist, you will: Develop cutting-edge methods to predict which somatic mutations drive clonal expansion Integrate large-scale multimodal omic datasets from healthy and
-
. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
-
machine-learning, predictive-modelling or multivariate methods to behavioural and/or EEG data. Proficiency in R, MATLAB and Python. What we can offer In return we offer a generous pension, relocation
-
Bio Process Development Unit (ABPDU ). In this exciting role, you will develop AI-driven predictive metabolic models of cell physiology, metabolism, and functional behavior. You will have the
-
Materials Design - Develop and apply machine learning and AI models (e.g., ML interatomic potentials, generative design, reinforcement learning) to predict and design materials. - Perform first-principles and
-
multimodality gastrointestinal, oncological, musculoskeletal and neurological imaging, as well as medical physics, statistical methodology, health economics, modelling, and health behaviour. The academic
-
other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases
-
. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
-
, including emerging life-sciences foundation models, to investigate cancer aetiology, identify biological and clinical subtypes, and develop robust models of cancer risk that can inform prevention, screening