264 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
vaccine platforms. You will provide support in the insectary work, and the related in vivo experiment and research work including research design, methodological development, and the analysis and reporting
-
), Neha Potnis (Auburn), Courtney Leisner (Virginia Tech)) and Thomas Lahaye (Tübingen)) to investigate the effect of fluctuating temperatures on the outcome and evolution of plant-pathogen interactions. We
-
demonstrate evidence of continuing professional development alongside excellent organisational skills with the ability to work flexibly and autonomously and contribute to / manage multiple projects at various
-
drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project and support other group projects. This will include lab experiments, analysing
-
establish and validate microfluidic co-culture systems using human glomerular cells and benchmark these platforms against human kidney multi-omic and spatial datasets. These systems will be further developed
-
fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot
-
developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
-
. You will support multiple research projects in the lab, focused on studying the anti-tumour response and the impact of different immunosuppressive mechanisms in the tumour microenvironment that curtail
-
Development Lead. You will be responsible for contributions to a major new programme of research investigating ethical questions and public views concerning research using post-mortem brains. The project
-
developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms