Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, 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
-
more about the research group at https://pereiralab.com / We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous
-
evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
-
evaluate them on experimental cryo-EM datasets. Cryo-EM is a rapidly growing field that has transformed structural biology over the past decade. The methods are proven and impactful, yet far from mature
-
, with joint academic–industrial supervision Data-driven life science is a field of research that utilizes data, computational methods, and artificial intelligence to investigate biological systems and
-
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
-
School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
-
information about us, please visit: www.dbb.su.se . Main responsibilities We are looking for a highly motivated staff scientist to join the In Situ Sequencing (ISS). While formally affiliated with DBB
-
-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
-
. The project focuses on developing novel representation learning and generative modeling methods to construct a unified cellular morphology state space across heterogeneous datasets. By leveraging shared