Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the national Data-Driven Life Science (DDLS) program. About the position and the project As an industrial PhD student, you will be employed by the startup company PredictMe AB while being formally enrolled as a
-
We are looking for a PhD student in Visual Learning and Communication with a focus on interactive visualization, visual learning, science communication, and educational science, formally based
-
. The candidate should have strong mathematical skills and experience in machine learning, programming, and the analysis of visual data. Furthermore, you are able to work with a long-term perspective and drive
-
epidemiology and biology of infection with start date 1 September 2026, or as agreed. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Data driven
-
The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among
-
. The student is expected to learn to design research questions and hypotheses, design experiments, analyze data, take courses, write scientific manuscripts, communicate science to their peers and the general
-
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
-
within linear algebra, calculus, numerical linear algebra, optimization, statistical machine learning, computer vision, 3D image processing, visualization, material science, deep learning, and software
-
equations Computational science or Scientific Computing Scientific Visualization Good written and spoken communication skills in English is mandatory. The applicant should be motivated, dedicated to research
-
equations Computational science or Scientific Computing Scientific Visualization Good written and spoken communication skills in English is mandatory. The applicant should be motivated, dedicated to research