Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In 2021, Mitsubishi UFJ Research & Consulting and the Smart City Institute
-
and facilitated by the Aminov Family, is available within UCL Great Ormond Street Institute of Child Health. The studentship will commence from 1st February 2026 onwards, under the supervision of Prof
-
; - Background in Electrical Engineering / Computer Engineering / Mathematics and expertise in Artificial Intelligence and Machine Learning, Electronic Design Automation or Analog and Radio Frequency IC Design are
-
an implementation support package Project Supervisors: Dr Sam McLean Prof Beth Fylan Dr Justine Tomlinson Jaspreet Sohal Project Description: This is a fully funded training programme to conduct research
-
and industries across all areas. PhD candidates under this program are connected with academic supervisors and industry-based researchers, to co-design innovative, applied research projects. Through
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the hidden world
-
conversational AI, paying attention to trust, cultural sensitivity, and affective interaction; Design methods and metrics to evaluate bias, fairness, inclusivity, safety, and emotional responsiveness; Explore
-
scientific journals and complete your PhD thesis. The Team You will join the Root Ecology team led by Prof. Dr. Liesje Mommer at Wageningen University, part of the Forest Ecology and Forest Management group
-
. Tailored Training: Benefit from both group-based and personalised training activities. We’ll help you craft an individual training plan that aligns with your career goals. Live in Sheffield: Enjoy life in
-
aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof