Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- King's College London
- University of Cambridge
- Durham University
- University of London
- DURHAM UNIVERSITY
- AALTO UNIVERSITY
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Liverpool
- Imperial College London
- University of Birmingham
- Nature Careers
- Swansea University
- Aston University
- University of Glasgow
- University of Manchester
- University of Oxford;
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- Birmingham City University
- Heriot-Watt University;
- John Innes Centre
- King's College London;
- Kingston University
- Lancaster University
- Manchester Metropolitan University
- Medical Research Council
- Oxford Brookes University
- Queen Mary University of London
- Royal College of Art
- Sheffield Hallam University
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- University of Cambridge;
- University of Essex;
- University of Exeter
- University of Hull
- University of Leicester
- University of Lincoln
- University of Newcastle
- University of Nottingham
- University of Reading
- University of West London
- 38 more »
- « less
-
Field
-
modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
-
the successful software package VASP (Vienna ab-initio Simulation Package). Currently, the group consists of two full professors, one associate professor, several postdocs and about 10 PhD and master students
-
Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
-
be on simulating the printing process, which requires, e.g., the definition of a proper material model that adequately describes rheological aspects and the adjustment of extrusion-related parameters
-
expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
-
including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
-
About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
-
Science, Robotics, AI, or a related field Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human-centred AI
-
within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
-
Science, Robotics, AI, or a related field 2. Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human