Sort by
Refine Your Search
-
Country
-
Employer
- Harvard University
- University of British Columbia
- University of Minho
- IMD Business School
- Indiana University
- Nanyang Technological University
- The University of Chicago
- UiT The Arctic University of Norway
- Yale University
- Curtin University
- Monash University
- UNIVERSITY OF HELSINKI
- University of Oslo
- CECS-Communication and Society Research Centre
- City of Hope
- Cranfield University
- Dana-Farber Cancer Institute (DFCI)
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Icelandic Heart Association
- Institute of Cosmos Sciences of University of Barcelona
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- LASE (University of Greenwich);
- Laboratório de Paisagens, Património e Território - Lab2PT
- National University of Singapore
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SYDNEY
- University College London
- University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences
- University of Birmingham
- University of Birmingham;
- University of California
- University of Chicago (UC)
- University of Dundee
- University of Greenwich
- University of Helsinki
- University of Manchester
- University of Michigan - Ann Arbor
- University of Notre Dame
- University of South-Eastern Norway
- University of Turku
- 31 more »
- « less
-
Field
-
position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
-
biology, or other AI-related disciplines. The successful candidate will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data
-
focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute
-
scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
-
which also include health care services . More practical information for working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that the application will only
-
cultivation, genome-informed molecular ecology, synthetic biology, and multi-omics approaches to better understand and engineer marine microbial ecosystems relevant to carbon cycling and marine biotechnology
-
be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is
-
methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
-
diabetes For disease Interception) (https://www.edent1fi.eu ). The research fellow is sought to support the UK component which is linked to the existing T1D screening program scaled up nationally by
-
to participate and exploit synergies with the RCN-funded DRIVE project on brain-driven multi-sensory robotic avatars for remote collaborative physical work. The PhD fellowship position is located at the University