Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
-
to engage in world-class research in theoretical nanophotonics. The ideal candidate will be enthusiastic about contributing to cutting-edge research in a dynamic and ambitious young research group, supported
-
that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
-
of non-traditional sensors for pavement monitoring, such as accelerometers, gyroscopes, and dynamic tiltmeters. Lastly, parametric investigations will be carried out with the validated code, utilizing as
-
characterization aspect of the project, i.e. investigation of dynamics during catalyst activation and reaction by in-situ transmission electron microscopy. VISION is pioneering technology for visualizing catalytic
-
subjects and engineering scientific disciplines. The teaching and research cover separation processes, bioprocesses, bioengineering, bioconversions, reaction engineering, dynamics and process regulation
-
of Geophotonics — a novel paradigm that explores the interaction of light with natural crystalline materials to decode the dynamics of Earth's surface. The positions offer a unique opportunity to contribute
-
packaging, one that’s safer, smarter, and more environmentally responsible? We are looking for a highly motivated PhD student to join our dynamic, interdisciplinary research team. By joining us, you'll gain
-
and characterization of carbohydrate-active enzymes and other proteins for a plethora of applications. We offer creative and stimulating working conditions in a dynamic, collaborative, and international
-
research themes include: Design of low-noise, low-power analog front-end for EEG electrodes Spike/event encoding of neural signals for neuromorphic processors CMOS interface design for glove-embedded sensors