Sort by
Refine Your Search
-
crystallography and natural product research is required. Knowledge in enzymology, protein design, molecular biology, microbial metabolism, natural product analysis (LCMS, NMR etc.) and/or bioinformatics
-
drug residence time, creating a high burden for patients and clinics. We thus aim to develop a minimally invasive, injectable biomaterial platform designed to enable predictable, long-term ocular
-
project aimed at advancing our single-cell ribosome profiling technologies in cancer. For further information about the lab, please visit https://www.sendoellab.org/. The Institute for Regenerative Medicine
-
methods and systems to overcome the limitations of today’s materials processing technologies. One particular area of interest is the design and fabrication of active structures through hybrid production
-
: The project aims to develop a novel mechano-Raman imaging platform to map mechanical deformation in polymeric materials with high sensitivity. By combining the design of vibrational force probes with advanced
-
drive research projects in reproductive biology Independently plan, coordinate, and prioritize experimental work Perform and document experiments in compliance with regulatory standards Apply and optimize
-
Materials for Energy Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies. Postdoc position in CO2 electrocatalysis under realistic conditions Your
-
on the design of AI-based surrogates of large-scale energy system models and will be integrated in the activities of the Nexus-e group with close links to the ETH AI Center and the Reliability and Risk
-
optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
-
by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed