21 digital-image-processing-phd-scholarship Postdoctoral positions at Chalmers University of Technology in sweden
-
This position focuses on research related to the full recycling cycle of sodium-ion batteries. The work includes developing processes for the recovery of valuable elements, carrying out
-
. Within the division, the Kádár Group conducts research in the broader field of rheology and processing of soft matter. Our ongoing projects center around three main areas: Field–matter interactions
-
(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
-
of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This postdoctoral position offers the opportunity to develop innovative green processes for transforming
-
to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
-
of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
-
electromagnetic processing. The work involves close cooperation across several departments. You will have access to a well-equipped experimental environment and be part of a collaborative team dedicated to creating
-
focuses on the development of new materials and processes for electronics packaging and bioelectronics applications. The research of the electronics packaging group in the Electronics Materials and Systems
-
Are you passionate about advancing lithium-ion batteries and driving innovation in next-generation batteries? Do you want to transform advanced electrode processing for electric vehicle batteries
-
Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC