197 evolution "https:" "https:" "https:" "https:" "https:" "FAPESP São Paulo Research Foundation" positions at University of Manchester
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
programme with counselling, fitness and leading sports facilities; · Learning and development opportunities; · Season ticket loans for public transport; · Cycle to Work Scheme; · Workplace nursery scheme
-
and leading sports facilities; Learning and development opportunities; Season ticket loans for public transport; Cycle to Work Scheme; Workplace nursery scheme; Staff recognition schemes; Staff
-
are particularly seeking candidates who have experience of child and adolescent mental health services and can demonstrate the positive impact they have made to health care, education and practice development. You
-
: r.watkins@manchester.ac.uk General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close
-
vacancy, shortlisting and interviews: Name: Sean Urwin Email: sean.urwin@manchester.ac.uk General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https
-
@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below for the Further
-
for the development and delivery of technical projects and solutions for the Division, including CRM and reporting information systems. What you will get in return: Fantastic market leading Pension scheme Excellent
-
environment is fast-moving, collaborative, inclusive, and supportive of career development. Successful candidates may be subject to pre-employment screening carried out on our behalf by a third party. The offer
-
: https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date. Please see the link below for the Further Particulars document which contains
-
candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record