Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Linköping University
- Lulea University of Technology
- Uppsala universitet
- Karolinska Institutet
- Umeå University
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Luleå University of Technology
- Mälardalen University
- University of Borås
- University of Lund
- Blekinge Institute of Technology
- Högskolan Väst
- Linnaeus University
- Nature Careers
- 7 more »
- « less
-
Field
-
Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
-
of small cryptic plasmids in the development and spread of antibiotic resistance, and ii) Use machine learning tools to examine the complex interplay between bacterial hosts, various plasmids and resistance
-
Wiberg is “Innovative statistical and machine learning methods for comparing performance and outcome in register data studies”, with overall aim to develop, evaluate, and implement innovative statistical
-
of geometric deep learning and add rigorous arguments to a debate driven by empirical results. Who we are looking for We seek candidates with the following qualifications: To qualify as a PhD student, you must
-
on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
-
collaborative). Personal research synopsis for the PhD project (max 3 pages A4, font Arial 11 pt, single line spacing). It should be written and authored by yourself (not machine-generated e.g. using AI text
-
Electrical Engineering, Space Technology, Computer and Systems Science. We are now looking for a PhD student who can contribute to our growing activities in electrodynamic calculations at the EISLAB division
-
using machine learning”. The main task of the doctoral student is to carry out an individual research project under supervision. The doctoral position will contribute important expertise in data analysis
-
particularly valuable. Documented experience with machine learning and biostatistics is also highly meritorious.You can find information about education at postgraduate level, eligibility requirements and
-
, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental