Sort by
Refine Your Search
-
Category
-
Country
-
Employer
-
Field
-
firmware design. Contact: Massimo Gottardi (FBK), Giampietro Tecchiolli (AI4IV) Where to apply Website https://phd.fbk.eu/calls/detail/mixed-analog-digital-cmos-architectures-for-ai-… Requirements Research
-
integrated cryogenic temperature sensors. Join our vibrant team in demonstrating cryo-CMOS integrated circuits enabling the next quantum technologies! Job Description Quantum computers and quantum sensors
-
Contribute to quantum technologies by developing integrated cryogenic temperature sensors. Join our vibrant team in demonstrating cryo-CMOS integrated circuits enabling the next quantum technologies
-
in advanced CMOS technologies such as FDSOI and FinFET. Data converters (ADC and DAC) play a crucial role in such advanced CIM technology; hence, we are looking for a highly motivated analog and mixed
-
group? Read here about the experiences of Maryam Dodangeh, who is currently doing her PhD in the IC Design Group! We have access to advanced CMOS fabrication technology nodes and a well-equipped
-
-level power, thermal and energy-efficiency models for future heterogeneous computing systems built on advanced CMOS technologies What you will do Continued technology scaling and the integration
-
invite you to elaborate on your experience, courses, or project work relevant to analog IC integration in CMOS/Bipolar technologies, design and modeling of photonic systems, the theory of communication
-
Develop CMOS-compatible broadband photodetectors for compact spectropolarimetric cameras. You will design, fabricate and characterise detector structures for space-based Earth observation. Job
-
PhD in the IC Design Group! We have access to advanced CMOS fabrication technology nodes and a well-equipped laboratory for evaluation of test-chips. We offer a very collaborative atmosphere and you
-
. The success of neural networks as a platform for developing AI is partially explained by the fact that backpropagation, the primary algorithm used to train them, runs efficiently on conventional CMOS hardware