12 learning "https:" "https:" "https:" "https:" "https:" "https:" "Computer Vision Center" research jobs at SciLifeLab
Sort by
Refine Your Search
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
-
learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
-
Tryggers Stiftelse and the terms of the scholarship are regulated by the foundation (https://www.carltryggersstiftelse.se/this-is-the-carl-trygger-foundation/). The scholarship is for full-time postdoctoral
-
Camuñas Soler, [email protected] Unions Union representatives at the University of Gothenburg can be found here: https://www.gu.se/en/work-at-the-university-of-gothenburg/how-to-apply-for-a-position
-
KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
-
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
-
commitment, make Uppsala University one of Sweden’s most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may
-
are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it’s like to work and grow at KTH. Trade union representatives
-
microscopy, image analysis: Development of microscopes, fluidics, and data analysis pipelines used to acquire and quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering