Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
-
. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and
-
collaborative environment where you can both use and develop your technical skills? Then this position may be the perfect fit for you. Requirements University degree in bioinformatics, computer science, IT, or a
-
degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
-
computer science or an equivalent education, such as a Master of Science in Engineering. A minimum of 10 years of documented experience working in IT as a developer, systems specialist, architect, or similar role
-
information about us, please visit: www.dbb.su.se Project description We are seeking a researcher for a fixed-term project within the framework of a research program on allosteric modulation. The project
-
these questions through an interdisciplinary lens, with a strong focus on mathematical and computational methods closely connected to evolutionary theory and biological data. Read more about our research themes and
-
DNA unit, you are part of a team that includes staff at Stockholm University, and is part of a research environment that includes the Human Evolution research program at Uppsala University and the
-
(iPanCare ) Lab. We are a part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS ). iPanCare lab conducts research in the field of precision diagnostics and medicine
-
project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches