Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Harvard University
- Nanyang Technological University
- UiT The Arctic University of Norway
- National University of Singapore
- University of Stavanger
- Cornell University
- King's College London
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- LINGNAN UNIVERSITY
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- Central Michigan University
- Macquarie University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nature Careers
- The University of Queensland
- UNIVERSITY OF SURREY
- University of Bergen
- University of Birmingham
- AbbVie
- Amgen
- Barcelona Beta Brain Research Center
- Barnard College
- Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa
- CICERO Center for International Climate Research
- CSIRO
- Carnegie Mellon University
- Duke University
- INESC ID
- Insper
- James Cook University
- King's College London;
- Lawrence Berkeley National Laboratory
- Northeastern University
- The University of Alabama
- The University of British Columbia (UBC)
- Umeå universitet stipendiemodul
- University of Agder
- University of Alabama, Tuscaloosa
- University of California, San Francisco
- University of Cincinnati
- University of Colorado
- University of Denver
- University of Michigan
- University of Otago
- University of Oxford
- University of Southern Denmark
- University of Texas at Austin
- University of Utah
- Vrije Universiteit Brussel
- Yeshiva University
- Zintellect
- 45 more »
- « less
-
Field
-
a possible extension for one more year. The starting date is November or December 2025. This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological
-
transfer learning, data-driven calibration, or case-based reasoning, to improve decision-making, reduce uncertainty, and justify steering recommendations? This PhD research together with the DigiWells team
-
exam before 15.06.2026. It is a condition of employment that the master's degree has been awarded. Background in optimization is required. Experience in machine learning is an advantage. Familiarity with
-
managing large multimodal datasets, as well as contributing to analytical studies related to machine learning, clinical decision rules, and time-to-intervention evaluations. Responsibilities include curating
-
, or other neurodegenerative disorders. Experience with machine learning for large datasets. Experience with computational methods and workflows for handling large-scale data. Personal skills Highly organized
-
data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and computational in nature and will include: Developing minimal active-matter
-
the researchers from Department of Automation and Process Engineering will play a key role. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early
-
publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
-
and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial
-
samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed