Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Employer- Chalmers University of Technology
- KTH Royal Institute of Technology
- Chalmers tekniska högskola
- University of Lund
- Linköping University
- Nature Careers
- Lunds universitet
- Umeå University
- Umeå universitet stipendiemodul
- Karolinska Institutet (KI)
- SciLifeLab
- Chalmers Tekniska Högskola
- Linköpings University
- Linköpings universitet
- Linnaeus University
- Linneuniversitetet
- Lund University
- Sveriges Lantrbruksuniversitet
- Umeå universitet
- Uppsala universitet
- chalmers tekniska högskola
- 11 more »
- « less
 
- 
                Field
- 
                
                
                combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing 
- 
                
                
                combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing 
- 
                
                
                required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially 
- 
                
                
                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 
- 
                
                
                physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining 
- 
                
                
                -of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high 
- 
                
                
                Infrastructure? No Offer Description Job description Do you have a background within mechatronics, biomedical, mechanical, electrical, or computer engineering and research interests in medical robotics and human 
- 
                
                
                that the self-driving vehicle cannot handle. The research work on teleoperated vehicles with a focus on vehicle dynamics is about research on human and machine interaction. The work also deals with control 
- 
                
                
                fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the 
- 
                
                
                clinical service, appointments of trust in trade union organizations, or similar circumstances. Doctoral degree should be within bioinformatics, machine-learning, computational biology, genomics, or a