Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Aalborg University
- DTU Electro
- Nature Careers
- Technical University Of Denmark
- University of Southern Denmark
- Aalborg Universitet
- Danmarks Tekniske Universitet
- Technical University of Denmark;
- Aarhus University
- King's College London
- Technical University of Denmark (DTU)
- Technical University of Denmark - DTU
- University of Copenhagen
- 4 more »
- « less
-
Field
-
analytical skills, including signal processing, statistical learning, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements
-
, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab
-
integrating with modulators. The project will among others consist of the following tasks: Study nonlinear process for OFC wavelength conversion from telecommunication to mid-infrared; Study different schemes
-
them correspondingly for different applications; Evaluate different SiCOI materials; Fabricate SiCOI devices using CMOS compatible processing; Integrate different devices monolithically on SiCOI
-
them with pump diode laser; Character, optimize and evaluate the performance for the integrated laser system Where to apply Website https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites
-
batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
-
materials and constructions. Use Material Flow Analysis (MFA) to explore optimal treatment pathways based on material composition. Collaborating with fellow doctoral researchers across the SCARPA network
-
. Main tasks and responsibilities: Design soft robotic grippers with embedded sensors Develop and optimize multi-material 3D printing processes Integrate sensors and adaptive control systems Validate
-
Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high
-
for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and