Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
candidate will be part of the dynamic SciLifeLab community, both locally in Uppsala and across Sweden as a whole. For information on the SciLifeLab Fellow programme, see https://www.scilifelab.se/contact
-
science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
-
scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic
-
experimental and computational methods to identify molecular mechanisms leading to dysfunctional cellular states in human disease (www.camunaslab.org ). The candidate will contribute to the improve Slice-seq, a
-
, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Working place The Department of Immunotechnology engages in research ranging from
-
the physical mechanisms of infection. We are based at KTH and SciLifeLab in Stockholm (https://hannebellelab.org/ ). We are seeking a PhD student to study the biophysics of schistosome skin infection
-
KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
-
the BioImage Informatics team (https://www.scilifelab.se/units/bioimage-informatics/ ). This employment is funded through NBIS under the SciLifeLab and Wallenberg National Program for Data-Driven Life Science
-
, 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