Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- AALTO UNIVERSITY
- University of Cambridge
- King's College London
- University of London
- DURHAM UNIVERSITY
- Heriot Watt University
- Manchester Metropolitan University
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Liverpool
- University of Nottingham
- Imperial College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Royal College of Art
- University of Glasgow
- University of Leicester
- University of Manchester
- University of Newcastle
- University of Nottingham;
- University of Oxford;
- ; University of Cambridge
- Aston University
- Cardiff University
- King's College London;
- Lancaster University
- Liverpool School of Tropical Medicine;
- Medical Research Council
- Nature Careers
- Oxford Brookes University
- Queen Mary University of London
- Queen Mary University of London;
- Royal College of Art;
- Sheffield Hallam University
- Technical University of Denmark
- University of Bath
- University of Cambridge;
- University of Reading
- University of West London
- 32 more »
- « less
-
Field
-
processing Strong experience in machine learning or deep learning for medical image analysis Strong programming skills in Python, with additional experience in C/C++ or other object oriented languages
-
microbiota composition and function in a collection of maize germplasm exhibiting diverse levels of yield stability under drought stress. The high-level objective of the research is to characterize
-
in machine learning or deep learning for medical image analysis Strong programming skills in Python, with additional experience in C/C++ or other object oriented languages Experience with PyTorch
-
techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data. Depending on the results obtained in the first year, the post can
-
-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
-
the research area; gathering, analysing and illuminating data, evaluate and criticise texts and bring new insights to research area; supporting the development of research objectives and proposals for own and/or
-
candidate will carry out duties to the highest standard and will: Undertake original research of international excellence. Develop research objectives and proposals for own and/or collaborative research
-
Postdoctoral Researcher position in the group of Prof. Gunda Köllensperger. The major objective is to downscale metabolomic techniques to the level of organelles, small cellular communities ultimately aiming
-
analysis Strong programming skills in Python, with additional experience in C/C++ or other object oriented languages Experience with PyTorch/TensorFlow for computer vision tasks Track record of publications
-
on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have