Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- UNIVERSITY OF VIENNA
- ;
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- Manchester Metropolitan University
- University of London
- King's College London
- Heriot Watt University
- University of Cambridge
- University of Oxford;
- University of Birmingham
- University of Reading
- University of Sheffield
- Durham University
- Imperial College London
- Nature Careers
- Royal College of Art
- University of Newcastle
- University of Nottingham
- ; University of Exeter
- Aston University
- Birmingham City University
- City University London
- DURHAM UNIVERSITY
- Heriot-Watt University;
- King's College London;
- Medical Research Council
- Northumbria University;
- Nottingham Trent University
- Queen's University Belfast
- Technical University of Denmark
- University of Bath
- University of Cambridge;
- University of Essex;
- University of Glasgow;
- University of Lincoln
- University of Liverpool
- University of Manchester
- University of West London
- 30 more »
- « less
-
Field
-
before deduction of taxes), depending on experience and qualifications. As an employer, Aalto University provides excellent learning and development opportunities as well as occupational health care
-
being able to learn and apply specialist knowledge in parasitology, structural biology, cell biology or molecular biochemistry. You should be interested in an interdisciplinary research project involving
-
acquired and will also be determined by the funding available. About you You should hold a PhD/DPhil, or be close to completion, of a relevant PhD/DPhil with a proven record of being able to learn and apply
-
We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
-
no.: 4135 Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international
-
the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
-
groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will be working in the research group of one of the PIs
-
sufficiently versatile to rapidly acquire the required capacity. You will have : A PhD in gut microbiology or closely related field Good knowledge of gut modelling and general microbiology Experience in
-
. Familiarity with standard design verification (DV) procedures and continuous integration (CI) setups would be beneficial. Knowledge of machine learning workloads and the design of machine-learning accelerators
-
• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing