11 analog-integrated-circuit Postdoctoral research jobs at Chalmers University of Technology
Sort by
Refine Your Search
-
We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
-
superconducting circuits. A part of the project is addressing specific challenges related to this goal. One such challenge is to efficiently read out quantum information from qubits. To achieve this, a first-stage
-
initiative to develop a quantum computer based on superconducting circuits. Part of the project is also to solve specific problems related to this goal. A key challenge in this effort is mitigating errors in
-
-, and fuel-related Risk Influence Factors (RIFs). Translate potential risk scenarios into Unity-based extended reality (XR) modules and embed proactive Risk Control Options (RCOs). Integrate developed
-
reliable and sustainable components more affordably and more efficiently. Due to the complexity of the research, an integrated framework combining experiments, simulations, and data-driven methods is
-
within research and education. The following will strengthen your application: Familiarity with any of: molecular simulation methods (integrators, force fields, enhanced sampling), structural biology
-
applications, specifically targeting the prognosis and risk prediction of Heart Failure (HF) in patients. This research integrates AI safety, explainability, and multimodal medical data analysis to enhance
-
propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
-
research and education with a focus on wireless electronics, photonics, quantum technology, as well as bioelectronics and microelectronics packaging and integration within Chalmers University of Technology
-
". Analyze and interpret data to develop analytical models and representations. Collaborate with interdisciplinary teams to integrate findings into broader research contexts. Publish research findings in high