Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
background in CMOS/VLSI design, computer architectures (preferred RISC-V architecture), and deep learning principles. Experience with industry-standard EDA tools such as Cadence suite: Genus, Virtuoso, Spectre
-
mindset, be curious and eager to learn. Since you will join an international group, a good command of written and spoken English is necessary. Your academic background should include a Master degree (or
-
• Experience in programming and deep learning frameworks • A creative mindset and curiosity to research and develop new solutions with highly skilled colleagues • Strong interest in XAI • Willingness
-
, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming (e.g. C++, Python, Matlab
-
science, culture, and learning. The Centre benefits from SDU’s strong industry connections in Southern Denmark and Northern Germany, including collaborations with leading companies in sectors like e
-
is to establish and conduct research projects, teach, communicate knowledge about alcohol and drug use, and collaboration with national players in the area as well as international research
-
medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research environment. Our department has unique and advanced animal experimental
-
are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
-
electronic components including SiC/GaN based devices. The candidate will also have opportunity to work with industry related problems. Key Responsibilities Research & Learning: Develop expertise in advanced
-
components including SiC/GaN based devices. The candidate will also have the opportunity to work with industry related problems. Key Responsibilities Research & Learning: Develop expertise in advanced control