Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Lulea University of Technology
- Uppsala universitet
- Linköping University
- Karolinska Institutet
- Umeå University
- Karolinska Institutet, doctoral positions
- Luleå University of Technology
- Mälardalen University
- University of Borås
- Blekinge Institute of Technology
- Högskolan Väst
- KTH Royal Institute of Technology
- Linnaeus University
- Nature Careers
- University of Lund
- 7 more »
- « less
-
Field
-
multimodal machine learning. Admission requirements The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240 ECTS credits
-
technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm development (using both traditional signal processing and machine learning
-
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 MSI advances our understanding 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
-
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
-
documented experience in mathematical modeling of biological systems or in deep learning/machine learning, from education or previous positions. Experience in both of these areas is meriting for the position
-
. Rocío Mercado Oropeza, applies machine learning to molecular engineering problems in life sciences and drug discovery, and is based in the Division for Data Science and AI within the CSE Department
-
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
-
or more of the following programming languages/environments: Unity/Unreal, C/C++, C#, Python Basic understanding of the artificial intelligence and machine learning fields. Place of employment: Karlskrona
-
Be part of the DARE (Digital Autonomy with RISC-V in Europe - https://dare-riscv.eu/home ) project developing novel high-performance computing and AI technologies. Learn more about cutting-edge