Sort by
Refine Your Search
-
methods relevant for drug discovery analysis pipelines, trial design and operational efficiency. Other responsibilities will include helping with supervision of PhD students working on projects as part of
-
of RNAseq data and in vivo modelling of cancer. In addition to leading your own research, you will provide guidance and support to junior members of the lab, including PhD and project students, research
-
research materials and analysing and presenting qualitative and/or quantitative data from a variety of sources. The successful candidate will hold a PhD degree in a relevant topic (e.g. Biomedical sciences
-
learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
-
close to completing, a PhD/DPhil in cell biology, molecular biology, biomedicine, or a related field. You will have in-depth knowledge and experience in the cell and molecular biology of cancer, as
-
in top-tier scientific journals. It is essential that you hold a PhD/DPhil (or close to completion) in tumour immunology or a related life science field together with background in cancer research. You
-
activities for the project. The successful candidate will hold, or be about to attain, a relevant PhD/DPhil (or equivalent) in a relevant discipline together with specialised experience in mental health and/or
-
sciences discipline, you will be self-motivated, imaginative and able to plan and deliver a research project. You will have a PhD (or be near completion) in one of the above disciplines and have experience
-
evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
-
applications and optimization of bioelectronic devices for selective and controlled therapeutic release. You should hold a relevant PhD (or be near completion) in fields such as biomedical, electrical