Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Linköping University
- University of Lund
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- Nature Careers
- Lunds universitet
- Karlstad University
- Lulea University of Technology
- Blekinge Institute of Technology
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Karlstads universitet
- Linnaeus University
- Mälardalen University
- Stockholms universitet
- University of Gothenburg
- Karolinska Institutet (KI)
- Lund University
- NORDITA-Nordic Institute for Theoretical Physics
- Umeå universitet
- Umeå universitet stipendiemodul
- Örebro University
- 14 more »
- « less
-
Field
-
master's level courses in machine learning and R programming during the autumn semester of 2025 (with a possibility of extension). The main tasks involve assisting students during lab sessions and possibly
-
description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
-
patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
-
. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
-
Mathematics,' and 'Computer Vision and Machine Learning' at the Faculty of Engineering, as well as Mathematical Statistics, which is cross-faculty. The position is located at the Division of Mathematical
-
modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
-
sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models that unlock
-
, or computer science. Documented experience in professional software development. Documented experience or interest in Artificial Intelligence and Machine Learning development, Proficiency in written and oral
-
experience in software testing a plus. Documented experience or interest in Artificial Intelligence and Machine Learning development, Proficiency in written and oral communication in English Additional
-
Master of Science degree in Computer Science with a specialization in Machine Learning and Artificial Intelligence. We are looking for someone with knowledge of: High-dimensional random representation