Sort by
Refine Your Search
-
28 Feb 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Mathematics Technology
-
programs; managed languages avoid most such problems at the cost of additional run-time machinery and checking which can increase the footprint of a program or make it harder to reason about its performance
-
design scalable numerical methods for quantum master equations, implement high-performance simulations, and help build open-source tools for large-scale spin-system modeling. By improving our ability
-
neuromorphic circuits. We will also simulate high-efficiency spiking neural networks (SNN) and build neuromorphic sensory systems to validate performance and explore broad biomedical and other potential
-
Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
-
First Stage Researcher (R1) Application Deadline 31 Mar 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
-
) Application Deadline 19 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
-
Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
-
resources such as Kraft lignin into high-performance carbon anodes. Currently, a major technical hurdle regarding hard carbons is the lack of control over how precursor properties influence the final material
-
understanding of electrolyte performance from molecular to device-relevant length scales. The main task for the doctoral candidate will be to develop and apply computational models to quantify and predict key