Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
-
similar degree with an academic level equivalent to a two-year master's degree in the field of civil- or architectural engineering or similar fields. Experience with the following will be highly
-
computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
-
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
-
predictive or generative methods for materials discovery. Work with state-of-the-art neural network architectures applied to materials data. Publish scientific papers and present research results in top
-
PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
qualifications and technical skills that are listed below. MSc Degree (or equivalent) in Civil or Mechanical Engineering or other related engineering or science fields (e.g., Architectural, Electrical, Mechanical
-
., Architectural, Electrical, Mechanical or Industrial Engineering, Autonomous Systems, Computer Science, Medical Engineering, and Human Psychology) More detailed information about the Rules related to DTU’s PhD
-
PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
., Architectural, Electrical, Mechanical or Industrial Engineering, Autonomous Systems, Computer Science, Medical Engineering, and Human Psychology) Excellent background in the design, creation, and testing
-
, suitable for wearable or implantable devices. The research will focus on hardware-software co-design, from modeling spiking behavior to implementing scalable architectures on silicon. Key research themes
-
cryogenic electronics, CMOS behavior at cryogenic temperatures (4 K and below), and quantum hardware architectures (superconducting qubits and spin qubits). Collaborate with quantum physicists to interface