28 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of London
Sort by
Refine Your Search
-
detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
-
Principal Investigator with the day-to-day running of the project. About You The successful candidate will have a degree and PhD (or close to completion) or research qualification/experience equivalent to PhD
-
degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
-
of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
-
to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
-
animal handling and behavioral experiment procedures required for calcium imaging studies on cognitive tasks y to reveal mechanisms underlying flexible cognition. Comparable experiments in animal models
-
You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
-
undergraduate and taught postgraduate students and 220 PhD students. Circa 40 administrative and technical staff support the staff and students. The staff and student body are international in make-up. The School
-
of Engineering and Materials Science, a large School with approximately 70 academic staff and around 45 postdoctoral research staff. There are around 1000 undergraduate and taught postgraduate students and 220 PhD
-
should have, or be close to completing, a PhD (or equivalent qualification) in Astronomy/Astrophysics or a closely-related discipline, and have a history of publications and oral/poster presentations