Sort by
Refine Your Search
-
gender equality and diversity as a strength and an asset. Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical
-
, chloroplast biology, or protease biology Ability to work independently and collaboratively in an international research environment, with a strong drive to take ownership of the project and develop their own
-
on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
-
technology development, including the design and synthesis of small organic molecules and biological macromolecules. Development of new biochemical and analytical methods are the basis for advanced studies
-
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
-
The Department of Medical Biosciences is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular signaling models”. The scholarship
-
creating inclusive environments. Flexible and Supportive: Tailored training and career development designed to balance professional growth with personal commitments. State-ot-the-art Research: Engage in
-
division The Division of Biomedical Engineering is part of the Department of Materials Science, and Engineering at the Ångström Laboratory. We perform research within the development of miniaturized
-
Associate Professor Stefania Giacomello. Examples of postdoctoral activities: Lead and develop independent research projects in line with the group’s focus Design, conduct and interpret computational analyses
-
). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep