Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
these. We conduct research within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics
-
. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self
-
, or related areas. Ability to work independently and collaboratively in an international team. Place of work Place of employment is Aarhus University, and place of work is Department of Mathematics, Faculty
-
their publications, ability to conduct independent research and participate in research collaborations, and their experience with research management. In addition, the applicant’s research plan and research potential
-
Denmark (SDU). These full-time positions offer a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic and
-
offer a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic and inspiring international research environment
-
. Applicants will primarily be assessed in relation to their research qualifications, including their publications, ability to conduct independent research and participate in research collaborations, and their
-
, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and/or high-temperature heat pumps based on power cycles. Design
-
partners at DTU, UCM, CSIC and Aarhus University on designing, fabricating, characterizing and analysing hybrid heterostructure quantum devices. We prioritise candidates with Expertise in electron- and
-
/or high-temperature heat pumps based on power cycles. Design thermal and/or thermochemical energy storage systems. Implementing and validating advanced thermodynamic models for performance prediction