Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
evidenced by recent publications in e.g. Nature Biotechnology – and also provides a stimulating environment for learning computational biology. The successful applicant will in furthermore receive training
-
Uppsala University, Department of Medical Sciences Are you interested cutting-edge genomics technologies and eager to contribute to developing methods at the forefront of life science? We
-
. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
-
degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
-
at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
-
science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required
-
Umeå University, Faculty Office of Medicine Together with The Laboratory for Molecular Infection Medicine Sweden (MIMS) and the SciLifeLab & Wallenberg National Program for Data-Driven Life Science
-
to diversity of human traits and diseases. We use both computational and experimental approaches across the disciplines of human genetics, functional genomics and molecular biology. What we offer A position at a
-
Postdoctoral position in Computational Epidemiology Are you interested in working with Computational Epidemiology, with the support of competent and friendly colleagues in an international
-
that are recruited to the program will form a network with the support of the SciLifeLab Committee KI. This is a joint postdoctoral position between the lab of Andrea Fossati (KI/MTC, SciLIfeLab) and the lab