Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Karolinska Institutet
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Stockholm University
- Swedish University of Agricultural Sciences
- Uppsala University
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linköping University
- Linnaeus University
- Luleå University of Technology
- Lunds universitet
- Nature Careers
- Sveriges lantbruksuniversitet
- University of Lund
- 6 more »
- « less
-
Field
-
Assistant professor in Computational biology -machine learning for multimodal molecular biology data
use of machine learning for data analysis, mathematical modelling, statistics and computational simulation of molecular biological data. The subject specifically aims to develop and apply machine
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
scientific fields and a multitude of educations ranked highly in international comparison. Recent breakthroughs at Umeå University include deciphering the molecular mechanisms of the bacterial CRISPR-Cas9
-
of Prof. Lars G.M. Pettersson on aspects of modeling of water. These include all or a selection of molecular dynamics and Monte Carlo simulations, advanced quantum chemical x-ray spectroscopy calculations
-
of four years of full-time doctoral education is required. The research group The Högberg group is part of Molecular Systems Bioengineering at the department of Medical Biochemistry and Biophysics
-
use of machine learning for data analysis, mathematical modelling, statistics and computational simulation of molecular biological data. The subject specifically aims to develop and apply machine
-
offer A job at a leading technical university that creates knowledge and competence for a sustainable future Committed and ambitious colleagues and a creative, international and dynamic environment
-
The applicant should have, or expect to soon obtain, a M.Sc. degree in physics or an equivalent degree in a related subject area. Good knowledge of statistical physics, molecular dynamics and programming , is
-
crystalline thin films to 2D-materials. Handling and analysis of complex datasets, evaluation and simulation using Monte-Carlo and Molecular dynamics approaches. The PhD position is for four years, extendable
-
subject area. Good knowledge of statistical physics, molecular dynamics and programming , is advantageous. The applicant should be interested in working with both computational physics as