Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
transduction for cell line generation. • Perform metabolic perturbations and cell‑based assays to study antigen processing and presentation. • Conduct flow cytometry and fluorescence‑based assays. • Prepare
-
of health and disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research groups and 800 employees, the Department of Biomedicine is the
-
frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help
-
. The group typically takes over work as systems mature from development into real-world use, and it also picks up operational priorities that arise across NEXUS. In line with our values , ETH Zurich encourages
-
that make biomedical and clinical data usable in practice. The team currently has 5 members and supports a broad portfolio, ranging from internal tools and research platforms to applications developed
-
to work at the interface of quantum optics, quantum information science and quantum many-body physics. Led by Prof. Wenchao Xu , the EQE group develops programmable quantum systems based on neutral atoms
-
G. M. Silva, within the group of Prof. Roman Stocker, and focuses on the development and deployment of a new‑generation underwater imaging device to transform drift studies in riverine ecosystems. It
-
interested in applied machine learning and computer vision at the intersection of research and industrial deployment. Job description Develop and implement state-of-the-art computer vision algorithms
-
building material, contributing to the sustainable development of the built environment. Project background This PhD position is part of the interdisciplinary based at the Chair Gramazio Kohler Research
-
engaged in development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors