Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
-
demonstrable related experience. They will possess sufficient specialist knowledge in the discipline to work within the research programme and be able to contribute ideas for new research projects and research
-
studentship in Synthetic andPhysical Organic Chemistry available from October 2026, to work under the supervision of Prof. Paul McGonigal and Dr Alyssa-Jennifer Avestro in the Department of Chemistry at
-
months), and is full-time. Applicants will have, or be close to completing a PhD/DPhil in statistics, computer science, or related areas. They will have excellent communication skills, including
-
programs (chiefly using C++ Builder). To be considered for the IT Analyst/Programmer role you will have a bachelor’s degree in computer science, software engineering or related field. You will have
-
. The Engineering Science IT team (IT@Eng) are vital to the success of the department. We provide computing and network support, management of IT equipment and software, and help academic, student, and administrative users
-
About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
-
focus on Digital Humanities, Medical Humanities, Environmental Humanities and the study of Global Asia. It is part of NTU Singapore’s College of Humanities, Arts and Social Sciences (CoHASS), whose
-
out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
-
computer science, bioinformatics, or a related computational discipline with experience and demonstrable background in analysing complex biological data. Essential requirements include expertise in machine learning