Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Linköping University
- Lunds universitet
- KTH Royal Institute of Technology
- Uppsala universitet
- SciLifeLab
- Umeå University
- Karolinska Institutet (KI)
- Nature Careers
- Umeå universitet stipendiemodul
- Umeå universitet
- KTH
- Lulea University of Technology
- University of Borås
- Blekinge Institute of Technology
- Jönköping University
- Karlstads universitet
- University of Lund
- Örebro University
- Göteborgs Universitet
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Karlstad University
- Karolinska Institutet, doctoral positions
- Kungliga Tekniska högskolan
- LInköpings universitet
- Linköpings universitet
- Linnéuniversitetet
- Lule university of technology
- Luleå university of technology
- SLU
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umea University
- University of Skövde
- 27 more »
- « less
-
Field
-
) processing, robotic applications (hardware/software), excellent programming skills (including lower-level languages, such as “C”), and experience in neural networks / machine learning. After the qualification
-
Systems, Internet Systems and Computer Networks, Robotics, Machine Learning and AI, Automatic Control, or Mathematical Modelling and Optimization. Documented good profiency in software development. Good
-
Optimal Transport for Optimization and Machine Learning Appl Deadline: 2026/02/04 11:59PM (posted 2025/12/19, listed until 2026/02/04) Position Description: Apply Position Description Doctoral student in
-
Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work
-
world. We look forward to receiving your application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is
-
communications theory methods Applying optimization techniques and machine learning/AI approaches Conducting simulations and experimental validations Collaborating with Ericsson and Chalmers researchers Publishing
-
geometries. However, AM-generated surfaces exhibit significant and highly irregular roughness, a key factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined
-
, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and
-
application! The position Linköping University has a new cybersecurity lab that includes both a computer room for students and a server environment that can be used to simulate different scenarios related
-
manufacturing. It is meritorious to have previous experience in data analysis and processing with Python (or similar), preferably including documented experience with machine learning tools. It is meritorious