28 phd-in-integrated-circuit-design Postdoctoral positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
of innovation, entrepreneurship, and strategic management. Generously funded by The Knut & Ragnvi Jacobsson Family Foundation, the position aims to advance research that fosters innovation capacity
-
-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree
-
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
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
include structural integrity, fatigue and fracture mechanics, collision survivability, hull design, risk and reliability analysis, ship resistance and motions, and propulsion systems. Our research spans
-
: The successful candidate should have a PhD in physics or a closely related area. Ideally the candidate should have experience with cryogenic measurements of superconducting circuits, including microwave
-
particles will be assembled into larger one-dimensional and three-dimensional structures and integrated with other material systems. Characterization techniques will include electron microscopy, X-ray-based
-
and design nanostructures tailored for aerospace applications. About us The Division of Engineering Materials explores the relationship between technologically important materials and their properties
-
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
-
position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers