17 computational-cell-signaling-post-doc Postdoctoral positions at Chalmers University of Technology
Sort by
Refine Your Search
-
in computer science, mathematics, statistics, bioinformatics, or equivalent. The candidate should have previous experience in bacterial genomics, machine learning/artificial intelligence, preferably
-
to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
-
Vision Group at the division of Signal processing and Biomedical Engineering develops intelligent systems for automatic image interpretation and perceptual scene understanding. Our research spans both
-
the role We are looking for a project coordinator for a research project on “Robust post-processing of additively manufactured components”. This is a Smart Advanced Manufacturing project with 13 project
-
to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel
-
project The successful candidate carry out will research in the field of theoretical continuous-variable quantum computation. In particular, the focus will be on bosonic codes, classical simulation
-
We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
-
at Chalmers University of Technology , studying protein aggregation from a biophysical perspective and in cells. The position also offers the opportunity to collaborate with analytical chemists in
-
design. One of our group's goals is to create efficient surrogate models that reduce the computational cost of MD simulations by several orders of magnitude. Notable examples of our work in this area
-
will be supported by our extensive battery testing facilities, including equipment for commercial cells, half- and three-electrode measurements, and advanced materials analysis. About the research group