Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Umeå University
- Chalmers University of Technology
- Lunds universitet
- KTH Royal Institute of Technology
- Linköping University
- Linköpings universitet
- Örebro University
- Luleå tekniska universitet
- Umeå universitet
- Blekinge Institute of Technology
- Chalmers tekniska högskola
- Jönköping University
- Karolinska Institutet (KI)
- Luleå University of Technology
- Malmö universitet
- University of Borås
- University of Lund
- Uppsala universitet
- Chalmers Tekniska Högskola AB
- Chalmers tekniska högskola AB
- Karlstad University
- Lulea University of Technology
- NORDITA-Nordic Institute for Theoretical Physics
- Umeå universitet stipendiemodul
- chalmers tekniska högskola
- 16 more »
- « less
-
Field
-
modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial Intelligence (AI). For more info, please visit link . LUCI is well-established, with an extensive group
-
in spoken and written English are required. You hold a PhD degree in Neuroscience, Bioinformatics, Artificial Intelligence, Computer Science, Bio-engineering, or an equivalent discipline. Experience
-
application! We are now looking for a PhD student in infrainformatics with focus on semantic and goal-oriented communication specialized on cloud-assisted artificial intelligence and control systems. Your work
-
in the relevant research area. Excellent oral and written communication skills in English. Research and/or practical work experience from high-performance computing and artificial intelligence. Proven
-
artificial intelligence. Strong programming skills (e.g., in Python). Experience with data visualization tools and techniques. Ability to work both independently and as part of a team. It is also advantageous
-
program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
-
artificial intelligence. Independent work is combined with collaborations within and outside the research group. Own ideas and initiatives are encouraged. Duties An important task for the applicant is to
-
to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
-
exploring alternative materials, devices, and circuit architectures, particularly in the rapidly expanding field of artificial intelligence (AI) accelerator hardware. Atomically thin two-dimensional
-
for a fixed-term employment of four years starting in the beginning of 2026 or as agreed. Project description The PhD project focuses on the role of artificial intelligence in the public sector, with