Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Linköping University
- Umeå University
- SciLifeLab
- Lulea University of Technology
- University of Lund
- Nature Careers
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- Linnaeus University
- Lunds universitet
- Mälardalen University
- University of Borås
- 6 more »
- « less
-
Field
-
, attention to detail, and good communication skills are essential for success in this role. Flexibility and a willingness to learn are also important, as NBIS continually adapts to meet the evolving needs
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
that could help compensate landowners and we focus on forest biodiversity credits (FBCs) to represent measurable units of biodiversity that can express long-term improvements for which landowners could get
-
research area of Forest Values. The department of informatics consists of approximately 30 employees, and we aim to further grow. Within the department, research is conducted with a focus on the design and
-
an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group Join us at the department of Oncology-Pathology, Karolinska Institutet
-
Environmental Engineering at Chalmers. Developing your own scientific understanding and independently driving the research project with the help of the supervisory team. Formulating and designing research studies
-
Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences . The Centre for Mathematical Sciences is an
-
). Particular emphasis is placed on HPC-supported computing of sequencing data into assembled transcripts (de novo assembly is a frequent need), and further downstream translation of the ORFs of said transcripts
-
: • Designing and conducting multi-omics analyses (including genomics, transcriptomics, proteomics, metabolomics). • Constructing new AI-driven multi-omics models • Supporting occasional teaching and supervision
-
of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to