129 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Umeå University
- University of Lund
- SciLifeLab
- Chalmers University of Technology
- Jönköping University
- Linköping University
- KTH Royal Institute of Technology
- Karlstad University
- Nature Careers
- Umeå universitet
- European Magnetism Association EMA
- Högskolan Väst
- KTH
- Karolinska Institutet (KI)
- Linnaeus University
- Linnéuniversitetet
- Lund University
- Lunds universitet
- SLU
- Stockholms universitet
- Uppsala universitet
- 11 more »
- « less
-
Field
-
-quality educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a
-
protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you
-
The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
-
version for all bachelor programmes) at ju.se. We are now looking for an assistant professor in computer science with a specialisation in human-computer interaction. You will be part of the team
-
for the responsible integration of AI in education. You will work in an interdisciplinary research environment spanning human-computer interaction, intelligent tutoring systems, learning analytics, and education, in
-
related to staff position within a Research Infrastructure? No Offer Description PhD studentship in Work-integrated Learning – Informatics The School of Business, Economics, and IT at University West
-
Infrastructure? No Offer Description The Department of Computer and Systems Sciences. With over 200 employees and 4,500 students, the Department of Computer and Systems Sciences (DSV) is a strong and dynamic
-
of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral
-
on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The specific focus is on development and
-
focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop