Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- Zintellect
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- University of Oslo
- University of Bergen
- Cornell University
- City of Hope
- University of British Columbia
- University of Nottingham
- Indiana University
- Monash University
- University of Manchester
- Center for Drug Evaluation and Research (CDER)
- INESC TEC
- The University of Queensland
- University of Michigan
- University of New South Wales
- CRANFIELD UNIVERSITY
- Dana-Farber Cancer Institute (DFCI)
- Hong Kong Polytechnic University
- Northeastern University
- University of Birmingham
- University of Texas at Austin
- Carnegie Mellon University
- King Abdullah University of Science and Technology
- UNIVERSITY OF SURREY
- University of Algarve
- University of Arkansas
- University of California
- University of Sydney
- Aarhus University
- Barnard College
- Center for Devices and Radiological Health (CDRH)
- Durham University
- Ellison Institute of Technology
- Johns Hopkins University
- King's College London
- Loyola University
- Plymouth University
- Singapore University of Technology & Design
- The University of Manchester;
- UCL;
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UiT The Arctic University of Norway
- Universidade do Minho
- University of Cambridge;
- University of North Carolina at Charlotte
- University of Nottingham;
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Central Michigan University
- Cranfield University
- European Space Agency
- Francis Crick Institute
- INESC ID
- Imperial College London
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- LINGNAN UNIVERSITY
- Lawrence Berkeley National Laboratory
- Macquarie University
- Max Planck Institute of Biochemistry, Martinsried
- Missouri University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- New York University
- Princeton University
- Simons Foundation;
- The University of Southampton
- University of Agder
- University of Beira Interior
- University of Colorado
- University of Denver
- University of Kansas Medical Center
- University of Leeds
- University of Maryland, Baltimore
- University of Minho
- University of Notre Dame
- University of Otago
- University of Sheffield
- University of South Carolina
- University of South-Eastern Norway
- University of Stavanger
- University of Surrey
- University of the West of England
- Yale University
- American University
- Birkbeck University of London
- Birkbeck, University of London;
- Bowdoin College
- CIC bioGUNE
- CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias)
- Center for Biologics Evaluation and Research (CBER)
- Centro de Astrofisica da Universidade do Porto
- Centro de Engenharia Biológica da Universidade do Minho
- Cori Institute of Molecular and Computational Metabolism
- Curtin University
- 90 more »
- « less
-
Field
-
porphyry copper deposits. In this role, you will develop and apply machine-learning models to predict mineralisation using accessory minerals such as zircon and apatite, with a particular focus on
-
community partners to ensure outputs reflect local priorities and inform adaptation planning. Duties may include: Develop spatially explicit computational models using machine learning, hydrologic, and energy
-
identification and application of mitigation strategies. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: Describe interdisciplinary research approaches in genetics
-
, human error or deliberate attack, CDC fights disease and supports communities and citizens to do the same. Project Description: This opportunity offers a mentored learning experience focused on advancing
-
, or comparable research experience, along with significant experience in machine learning, computer programming, computational biological applications. A strong background in statistics and biology. Experience
-
operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process
-
coarse grained reconfigurable arrays (CGRAs), virtualisation of FPGAs using partial reconfiguration, and accelerator support for machine learning. Postdocs at KAUST enjoy generous salaries and free
-
, and evaluation approaches. 2) Observe and learn how longitudinal studies using large administrative health claims and other public health datasets are designed, conducted, and interpreted. 3) Gain
-
of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. The purpose of this role is to acquire the professional
-
Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction