76 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at SciLifeLab in Sweden
Sort by
Refine Your Search
-
at the Wallenberg Laboratory. The group is part of the national Data-Driven Life Science (DDLS) program, funded by the Knut and Alice Wallenberg Foundation. Their research focuses on developing computational methods
-
on sustainable chemistry but also advanced analytical methods of chemicals and materials. The department has a very well-developed research infrastructure with state-of-the-art equipment with qualified support
-
at Frescati. Research spans a broad range of biological subject areas including ecology and evolution, ecotoxicology, marine biology, plant physiology, systematics, and environmental and climate science
-
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 next generation of data
-
and Wallenberg National Program for Data-Driven Life Science (DDLS) (https://www.scilifelab.se/data-driven/ ) aims to recruit and train the next generation of data-driven life scientists and to create
-
health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and to create
-
before the deadline. The instructions for applicants are available at: How to apply for a position . Stockholm University contributes to the development of sustainable democratic society through knowledge
-
phylogenetic analysis over traditional Bayesian methods, and this capacity for improvements will have substantially more impact on the more complex MSC model. The project will develop an efficient framework
-
collaborative project at the division of Biophysics, Department of Applied Physics, KTH. The goal of the project is to use microscale acoustofluidic technology for the formation, development and analysis of 3D
-
hampers our ability to establish causal relations between molecular alterations and disease phenotypes. In this PhD you will address this by developing a deep learning model of cancer. The PhD position