47 bayesian-object-tracking Postdoctoral positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
, photoconductivity, x-ray diffraction, and the related analysis and modelling. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light-harvesting is essential
-
of inherited heart disease. Candidates should hold a PhD or MD with significant experience in cardiology, and experience in cardiac imaging (Echo andor CMR). A strong track-record of first author and/or senior
-
the collaboration. You will work closely with Principal Investigators and industry scientists to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records
-
clinical pharmacologists. It is essential you hold a PhD/DPhil in a relevant discipline with post-doctoral research experience, and have a proven track record of leadership in managing multi-disciplinary
-
About the role This is an exciting opportunity to work at the forefront of a new area of research exploring the interaction between avian vision and collisions with anthropogenic objects
-
. Candidates should be capable of initiating and leading research programmes in the sub-Department of Astrophysics at the University of Oxford. Excellent communication skills and a proven track record of
-
manipulation of behaviour (video tracking), generating fly lines, general fly stock maintenance, image analysis and providing guidance and support to research students when appropriate. This post is available
-
settings. This role requires the ability to independently manage academic research and its associated activities, and a track record of contributing to academic publications and/or conference presentations
-
. Developing an analytical framework to achieve the grant objectives, the postholder will also write and publish scientific papers on the relationship abiotic environmental variables and extinction selectivity
-
socioeconomic inequality. DIVREP involves three broad objectives: (1) assembling data on childbearing age and fertility levels, and estimating novel indicators of variation in reproduction for over 120 countries