Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
”. Qualification requirements Required Academic degree in Bioinformatics, Computer Science, Biotechnology or similar. Programming experience, preferably using Python or Javascript. Basic knowledge of version control
-
, computer science or a related subject the employer considers of relevance to the position. Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high throughput
-
administrative support systems Solid computer skills and proficiency in Microsoft Office (including Excel), and the ability to adopt new digital tools is required. Fluency to express yourself in speech and writing
-
and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting