Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- University of Lund
- Chalmers tekniska högskola
- Umeå University
- Swedish University of Agricultural Sciences
- SciLifeLab
- Linköping University
- Linköpings universitet
- Lulea University of Technology
- Luleå tekniska universitet
- Nature Careers
- Umeå universitet
- Uppsala universitet
- chalmers tekniska högskola
- Göteborgs universitet
- Karlstads universitet
- Karolinska Institutet
- Luleå University of Technology
- Lund University
- Mälardalen University
- Mälardalens universitet
- Sveriges Lantbruksuniversitet
- Umeå universitet stipendiemodul
- Örebro University
- 17 more »
- « less
-
Field
-
the role is to integrate the expertise of various research team members to foster strong interdisciplinary collaboration. Your research will involve several longitudinal cohort studies and clinic-based
-
upper mantle. The MT results will be integrated with new geological and other geophysical results from a dynamic team working on this multidisciplinary project. Duties The main tasks are: Review of legacy
-
statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity, be process-oriented and able to work independently. Being able
-
Aureobasidium pullulans and Pythium oligandrum. You will be part of a collegial interdisciplinary team working on integrated plant protection both molecular mechanistic and eco-evolutionary perspectives. You will
-
motions. The problem will be approached by integrating state-of-the-art methods known from AI with corresponding methods known from optimal control and MPC. In addition, the group's expertise in structure
-
NextG2Com – a Vinnova Competence Center coordinated by Lund University. NextG2Com focuses on next-generation advanced communication systems that integrate wireless communication, networking, software, data
-
assays and image analysis will be an integral part of the project as well as imaging on state-of-the-art super-resolution microscopes. The project will be conducted at the Biophysics unit of the KTH Royal
-
maintenance and reinforcement strategies. The postdoc will lead work on extracting and analyzing pavement condition and traffic data, integrating them with climate and environmental datasets, and developing
-
star formation rate models. Working with survey databases, handling large and complex datasets, and integrating data from multiple instruments. Data analysis and programming, including statistical
-
of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity