Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Chalmers tekniska högskola
- KTH Royal Institute of Technology
- Uppsala universitet
- chalmers tekniska högskola
- Chalmers Tekniska Högskola
- KTH
- Karolinska Institutet (KI)
- Linköping University
- Linköpings University
- Linköpings universitet
- SciLifeLab
- Umeå universitet
- University of Lund
- 5 more »
- « less
-
Field
-
techniques and generative AI. A strong background in software engineering as well as some interest in machine learning will be required for this project. Interest in compilers and the Java Virtual Machine
-
interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently includes the PI, a PhD student, and a research expert in bioinformatics
-
measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning techniques and generative AI. A strong background in software engineering as well as some
-
materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation
-
/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
-
integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and present research results from the project on conferences. Collaboration with
-
willing and able to learn quickly within a collaborative and interdisciplinary team. Instructions on how to apply For more information and documents/templates/europass link, please visit https
-
, Engineering, Mathematics, or a related field. According to the regulations of the Swedish Agency for Government Employers, the Doctoral degree should normally have been obtained within the past three years
-
included. Qualifications The position requires: A comleted PhD or equivalent in biomedical engineering, engineering physics, computer science, medical physics or other field relevant for the project. The PhD
-
Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research