Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
databases. Please check attached further particulars document for more information. What You'll Gain: A fantastic introduction to the workings of a busy academic department. Opportunities to develop a broad
-
. The successful applicant will have (or be about to obtain) a PhD in a relevant subject. The applicant is expected to develop new ideas and concepts in the areas outlined below in collaboration with the PI, by
-
be about to obtain) a PhD in chemical biology. They will be highly motivated and able to work independently. Excellent organisational and interpersonal skills are required to ensure success in liaising
-
in the Lab of Interdisciplinary Spatial Analysis (LISA) in the Department of Land Economy, University of Cambridge. This position is funded by the City University of Hong Kong and will be held
-
and committed undergraduates and postgraduates. The successful applicant for this position will have a PhD, formal pedagogical training, and recent experience in delivering outstanding University
-
(LISA) in the Department of Land Economy, University of Cambridge. This position is funded by the City University of Hong Kong and will be held at Cambridge. The Fellow will work under the supervision
-
an associated Masters, or ideally PhD, qualification. - Experience of processing and analysing large biological datasets. - Expertise in programming using at least one of R or Python. - Experience in
-
human disease modelling, therapeutic target discovery, functional genomics and Artificial Intelligence/Machine Learning. The Enterprise arm of the MTI provides a comprehensive support system, which is
-
circuit basis of behaviour, starting by mapping the synaptic wiring diagrams, or connectome, of whole brains, formulating computational models of neural circuit function, and testing these models with
-
work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities