47 machine-learning-phd-in-denmark Postdoctoral positions at KINGS COLLEGE LONDON in Uk
-
this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models
-
is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators
-
), with two cross-cutting Themes (Basic and Clinical). The School is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students
-
for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
-
is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators
-
, the post-holder will be working in close collaboration with a multidisciplinary team of researchers in Guy’s Campus, Denmark Hill and UCL. About the role: To investigate the cellular mechanisms underlying
-
are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods
-
backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute
-
range of mental health challenges. You will work closely with an experienced research team, which includes postdoctoral researchers, PhD students, and clinical experts. About the role: This is an exciting
-
vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role