Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
and engineering optical setups Experience with coherent control of quantum systems Competence in electronics design and hardware control Ability to acquire and process large datasets Enthusiasm
-
enable seamless human–machine interaction by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. The successful candidate will work on the design and
-
including in-memory computing, neuromorphic computing, and hardware acceleration for AI workloads. As a Postdoctoral Researcher in CMOS Design, you will play a central role in the design, simulation, and
-
, and system-level integration within a high-impact European research collaboration. Responsibilities Your overall focus will be to design, implement, and experimentally validate robotic manipulation and
-
and storage for coordinated system-level optimization You will design suitable business cases and market-oriented dispatch strategies for coordinated operation of electricity–cooling operation. Part of
-
Job description - Developing device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. - Exploring hardware-level
-
of cooling systems with electricity grids, renewable generation and storage for coordinated system-level optimization You will design suitable business cases and market-oriented dispatch strategies
-
: Experience with ecological datasets or biodiversity applications Experience with hardware integration, embedded systems, or edge computing (not required but beneficial) A track record of publishing technical
-
Job Description The Micro medical devices and hardware hacking-based technology (MIDAS) group at DTU Health Tech is seeking a talented and highly motivated postdoctoral researcher to join our
-
hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs