Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
-
, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
-
in computer science, engineering, data sciences, applied mathematics, machine learning, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at
-
importance to the research area. Relevant academic backgrounds are biotechnology, analytical chemistry, chemistry, chemical biology, microbiology, environmental science and technology, or equivalent
-
intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
-
areas such as engineering and finance. We are now looking for a PhD student in Mathematics/Applied Mathematics to contribute to a research project conducted within our research environment. Work tasks
-
Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made
-
the Royal Institute of Technology, Stockholm. Dahlin’s team works at the intersection between experimental and computational medicine to map blood cell development at the single-cell level. This is performed
-
At Chalmers University of Technology, research in the field of nanoscience and nanotechnology is carried out in a broad range of activities. Chalmers' researchers conduct basic research
-
for the construction of runtime monitors that capture under what conditions an ACPS is guaranteed to maintain safety. A key challenge in developing such monitors is to handle noisy, missing, or delayed data