Sort by
Refine Your Search
-
non-von-Neumann computing architectures. The project explores hybrid CMOS–spintronic computing systems, leveraging emerging spin-based devices such as magnetic tunnel junctions (MTJs) to enable ultra
-
design platforms for rapid deisgn and optimisation of novel targeting modules. Your responsibilities will include: Designing and implementing state-of-the-art deep learning architectures for protein
-
qualifications You will lead the computational and AI-driven aspects of the project. Your responsibilities will include: Designing and implementing state-of-the-art deep learning architectures for protein
-
cycle, from architecture to implementation, of a CMOS-based digital neuromorphic processor. Contribute to the design of a test setup for prototype validation in collaboration with the PhD student who is
-
for screening purposes and cell-based therapies. We will develop methods for modelling missing not at random (MNAR) observations and quantifying uncertainty using Bayesian methods and deep learning architectures
-
architectural design, including but not limited to ReACT/CodeAct agents, multi-agent systems, self-evolving agents, scalable agentic memory management and Extensive knowledge of existing bioinformatic algorithms
-
collaboration with project partners. Participate in the full design cycle, from architecture to implementation, of a neuromorphic image sensor. Contribute to the design of a space-grade test setup for prototype
-
-waveguide couplings that surpass the time-bandwidth limit of static cavities [Xue2022]. With these components as building blocks, we envision large-scale recirculating circuit architectures [Heuck2023b
-
projects. In addition to research, the candidate(s) will contribute to teaching activities within the MSc CREATE programme and the BSc in Civil and Architectural Engineering, with an emphasis on research
-
Vulnerabilities This project aims to explore the dynamic nature of the human replisome, with a focus on replisome protein architecture, replisome speed control, and replication stress responses in cancer cells. By