Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- INESC TEC
- Northeastern University
- University of Bergen
- University of Arkansas
- University of British Columbia
- INESC ID
- Indiana University
- Loyola University
- Plymouth University
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Universidade do Minho
- University of New South Wales
- University of Nottingham
- Bowdoin College
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- LINGNAN UNIVERSITY
- NTNU Norwegian University of Science and Technology
- UNIVERSITY OF SYDNEY
- UiT The Arctic University of Norway
- University of Beira Interior
- University of Kansas Medical Center
- University of Manchester
- University of Minho
- University of North Carolina at Charlotte
- University of South Carolina
- University of Texas at Austin
- ;
- ADELAIDE UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aarhus University
- Brunel University
- CIC bioGUNE
- Carnegie Mellon University
- Cornell University
- Dalhousie University
- Dana-Farber Cancer Institute (DFCI)
- Durham University
- ETH Zürich
- European Space Agency
- FCiências.ID
- Francis Crick Institute
- Humboldt-Universität zu Berlin
- Johns Hopkins University
- King Abdullah University of Science and Technology
- King's College London
- Lawrence Berkeley National Laboratory
- Max-Planck-Institut für Bildungsforschung
- Montana State University
- NTNU - Norwegian University of Science and Technology
- OCAD University
- SUNY University at Buffalo
- Simons Foundation/Flatiron Institute
- Tohoku University
- UCL EE
- UCL;
- Universidade de Coimbra
- University of Alabama, Tuscaloosa
- University of Colorado
- University of Denver
- University of Glasgow
- University of Idaho
- University of North Carolina at Chapel Hill
- University of Rhode Island
- University of South-Eastern Norway
- Zintellect
- 59 more »
- « less
-
Field
-
in Computational Electromagnetics will be responsible for developing theoretical models and high-performance computer codes for modelling the interaction between electromagnetic waves and dielectric
-
. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
-
Ph.D. in neurobiology or a related field. 1 year post-doctoral experience Certificates/Credentials/Licenses Applicants must have a Ph.D. in neurobiology or a related field Computer Skills
-
focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data, leveraging patient movement data. This research will
-
for relevant systems of EF-hand proteins · Supervise and instruct graduate and undergraduate students in Dr. Pengfei Li’s lab Minimum Education and/or Work Experience A MD or PhD is required in a closely related
-
, including parsing and processing large document corpora. Strong understanding of machine learning or AI methods applied to health or biomedical data. Demonstrated ability to assess model outputs, identify
-
, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
-
only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide
-
. - Criterion 2: Knowledge in the scientific areas of the project: Academic or applied knowledge in Software Engineering, Intelligent Systems/Machine Learning, and Interactive Technologies. - Criterion 3
-
planning and identification of strings and modules in the field. Development of a computer vision and machine learning pipeline for the detection, localisation and classification of defects in photovoltaic