Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
-
personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science, maths or a similar field A
-
, maths, or a similar field A strong background in one of the biological disciplines covered by PRIDAS (behavioral biology, data science, neuroscience, physiology, genetics) Knowledge of at least one
-
engage in cutting-edge research in a wide variety of fields, including biochemistry and molecular biology, clinical psychology, forensic science, pure and applied math, and more. We pride ourselves on our
-
and modelling of African malaria vectors and malaria transmission F2 Experience working with multiple partners either in academia or in malaria endemic countries F3 An emerging national or international
-
master's level degree corresponding to at least 240 higher education credits in a relevant field. Msc in Mechanical Eng., Hydraulic/Civil Engineering, Chemical Eng., Physics, Math, Eng., Aeronautics or any
-
field. • Msc in Mechanical Eng., Hydraulic/Civil Engineering, Chemical Eng., Physics, Math, Eng., Aeronautics or any corresponding Msc. • Knowledge of fluid mechanics. • Experience with
-
disciplines, are well versed in multiple approaches and styles of thought. The goal is for the students to be comfortable communicating across traditional boundaries, especially across the divide between
-
key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which