Sort by
Refine Your Search
-
Country
-
Employer
- ; Manchester Metropolitan University
- Delft University of Technology
- University of Nottingham
- ;
- Uppsala University
- ; Loughborough University
- ; University of Southampton
- ; University of Surrey
- Eindhoven University of Technology
- Harper Adams University
- Institut Pasteur
- Karolinska Institutet
- Leibniz
- Linköping University
- OsloMet
- Radboud University
- Swedish University of Agricultural Sciences
- University of Twente
- 8 more »
- « less
-
Field
-
One PhD studentship is available in the area of machine learning theory (statistical learning theory and deep learning theory) or theoretical-oriented topics, e.g., trustworthy machine learning
-
. An approach combining generative models and advanced statistical structure is proposed to develop a new method for probing altered states of consciousness through olfactory stimulation. This project consists
-
PhD Studentship: Centre for Doctoral Training in Composite Materials, Sustainability and Manufacture
. The occurrence of defects is a complex problem involving many factors. A combination of statistical tools and advanced machine learning techniques will be used to help develop mitigation strategies to avoid over
-
design, psychometry, and statistics required for psychological research, plus spoken and written English at a high level. Entitled to be admitted to the PhD-program is anyone who meets the conditions for
-
are maturing, one critical factor remains: human behaviour. From Edward Snowden’s historic NSA leak to the shocking statistic that 95% of cyber attacks succeed due to human error, it’s clear that human behaviour
-
organisational skills. Desirable Criteria: M.Sc. or Research Masters in a relevant discipline such as mathematics, computer science, data science or statistics. Experience with handling EEG and/or EMG data. How
-
background (e.g., mathematics, computer science, electronical engineering, physics, statistics, economics). Closing date : 31st July 2024. Funding: Full-time studentships will cover UK course fees and an
-
interventions for people of African and Caribbean origin. Rebecca Hardy is Professor of Epidemiology and Medical Statistics, and she has been at the forefront of developments in life course epidemiology for over
-
generic career-development opportunities (e.g., patient and public involvement and engagement (PPI-E), dissemination, statistics). Further information: Applicants should have either: a minimum of a 2.1 in a
-
competence in artificial intelligence, machine learning, machine vision and robotics, as well as Biometrics (statistics and mathematics with applications in biological systems). Read more about our benefits