Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- Aston University
- Cornell University
- European Space Agency
- Humboldt-Universität zu Berlin
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- National University of Singapore
- Paul Scherrer Institut Villigen
- Rutgers University
- Universidade do Minho - ISISE
- University College Dublin
- University of Bergen
- University of Southern Denmark
- Université Gustave Eiffel
- Vrije Universiteit Brussel
- 8 more »
- « less
-
Field
-
, and generate high-quality datasets for predictive microbial modelling and risk assessment. Responsibilities include contributing to the design and execution of food challenge studies, integrating
-
of existing studies to promote the use of risk-informed decision frameworks, prediction models, AI applied to planetary protection. Tasks include: Support the creation of probabilistic models for planetary
-
exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
-
Learning-enabled control and reinforcement learning Power system operations, planning, and electricity market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows
-
interactions. This involves (i) developing predictive machine learning models that forecast user actions and remote system responses across audio, video and haptic modalities, and (ii) jointly orchestrating
-
, as well as from industry. The successful candidate will work in the established collaboration between DSB and ICGI to develop multimodal deep learning models for predicting prostate cancer
-
to develop multimodal deep learning models for predicting prostate cancer aggressiveness. Specifically, digital pathology images and magnetic resonance (MR) imaging will be integrated with clinical data
-
Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
-
. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast
-
English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade