Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers tekniska högskola
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- SciLifeLab
- Umeå University
- Umeå universitet stipendiemodul
- Uppsala universitet
- Karolinska Institutet (KI)
- Umeå universitet
- Örebro University
- KTH
- Linköping University
- Linköpings universitet
- Nature Careers
- Stockholms universitet
- University of Borås
- University of Lund
- chalmers tekniska högskola
- Chalmers Tekniska Högskola
- Institutionen för akvatiska resurser
- Karolinska Institutet
- Linköping university
- Linköpings University
- Malmö universitet
- NORDITA-Nordic Institute for Theoretical Physics
- Sveriges Lantrbruksuniversitet
- Swedish University of Agricultural Sciences
- 18 more »
- « less
-
Field
-
the Division of Data Science and Artificial Intelligence and the employment is with Chalmers University of Technology. The division’s research spans from foundational machine learning theory to applications
-
academic research, learning and outreach. We provide a competitive advantage by linking our top-level international and interdisciplinary academic performance in the areas of material science, nanotechnology
-
technology. We are located on LTH's campus in northern Lund. At the Division of Electromagnetics and Nanoelectronics within the Department, we develop and study new generations of electronics based on advanced
-
measurement and control platform for optimal island operation of Chalmers’ wind-battery system. Machine learning-based forecasting tools for renewable production using limited local measurement data
-
presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
-
experience with machine learning techniques in general and neural networks in particular will be highly beneficial. About the employment The employment is a temporary position of 2 years according to central
-
requirements for the doctoral degree. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your
-
, Automotive, and Mechanical Engineering, and provides professional education nationally and internationally, supporting lifelong learning. M2 strives for close collaboration between academia, industry, and
-
ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real
-
: S. Aalto). In the project we use multi-wavelength techniques, including recently developed mm and submm observational methods, to reach into the dark hearts of dusty galaxies. New machine learning