Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- University of Cambridge
- University of London
- Durham University
- King's College London
- AALTO UNIVERSITY
- Heriot Watt University
- DURHAM UNIVERSITY
- University of Liverpool
- UNIVERSITY OF VIENNA
- University of Birmingham
- ; University of Kent
- Nature Careers
- Royal College of Art
- ; University of Oxford
- Imperial College London
- Medical Research Council
- Swansea University
- ; King's College London
- ; Nanyang Technological University
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The University of Manchester
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- ; University of Sussex
- ; Xi'an Jiaotong - Liverpool University
- Aston University
- Birmingham City University
- Manchester Metropolitan University
- Sheffield Hallam University
- University of Glasgow
- University of Hull
- University of Leicester
- University of Lincoln
- University of Manchester
- University of Newcastle
- University of Reading
- University of West London
- 32 more »
- « less
-
Field
-
with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
-
, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods
-
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
-
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
-
mechanisms of meiotic chromosome segregation using Drosophila oocytes as a model system (http://ohkura.bio.ed.ac.uk). We are looking for an enthusiastic and talented researcher to study spindle regulation in
-
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
-
specialised standard operating procedures. Additionally, candidates should possess expertise in host-pathogen interactions, supported by relevant experimental approaches, models, and analytical techniques
-
Prof Anuj Srivastava (Florida) and their teams. The project concerns methods for the statistical modelling of shapes changing in time, and involves mathematical and statistical techniques from
-
for informing rheological characterisation of living and model algal cell walls in dynamic and physiological environments. This exciting project aims to reveal the mechanical properties of the cell walls
-
for informing rheological characterisation of living and model algal cell walls in dynamic and physiological environments. This exciting project aims to reveal the mechanical properties of the cell walls