Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- Chalmers tekniska högskola
- University of Lund
- Uppsala universitet
- Linköping University
- Karolinska Institutet (KI)
- SciLifeLab
- Lulea University of Technology
- Luleå University of Technology
- Umeå University
- Chalmers tekniska högskola AB
- KTH
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Chalmers Tekniska Högskola AB
- Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg
- Karlstads universitet
- Karolinska Institutet
- Kungliga Tekniska högskolan
- Linkopings universitet
- Luleå University of Tehnology
- Luleå tekniska universitet
- Lund University
- Malmö universitet
- RISE, Research Institutes of Sweden AB
- Umeå universitet
- Örebro University
- 20 more »
- « less
-
Field
-
further responsibility to: • Seek contact with the colleagues who best support a discussion about the results • Find avenues for career support • Formulate, develop and optimize the ways of communication
-
you will ensure optimal operation of the beamline and its two end-stations ‘Diffraction’ and ‘Imaging’ for users and your own experiments. You will take an active role in running the beamline alongside
-
collaboration with Lund University. The candidate is expected to have a strong mathematical background particularly in stochastic modeling, optimization, and reinforcement learning. As a PhD student, you devote
-
, the focus will be on implementing inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our
-
Engineering, or a foreign degree deemed equivalent, in Electrical Engineering or related fields, or equivalent competence considered relevant by the employer. Strong knowledge in control and optimization theory
-
, enhanced stability, and optimized performance for transport and catalytic applications. Who we are looking for Strong interest in scientific research Master’s degree (masterexamen) of 120 credits or a
-
service layer, resulting in suboptimal remediation. This project introduces a bottom-up approach to network security, integrating physical-layer perspectives into the design and optimization of future
-
sequencing (WGS). We are now aiming to further develop our analysis pipelines and are looking for someone to work on bioinformatics development, with a focus on optimizing the analysis of SNVs, structural
-
) for the future 6G-NTN where trade-offs around flexibility, scalability, autonomy and optimization are made with respect to the fact that the systems will execute in space. In addition, work is planned in path
-
infrastructure. This full-time position focuses on building robust data pipelines, optimizing analytical workflows, and integrating mass spectrometry proteomics data with multi-omics platforms. You will play a