Sort by
Refine Your Search
-
Category
-
Field
-
the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly
-
modern econometric methods, including panel-data, time-series and causal-inference approaches. Potential dissertation projects may explore: how globalization and international policy competition shape
-
function. Through application of these methods to clinically relevant biological material, we aim to mechanistically dissect the role of DNA damage in aging and disease. Job description A PhD position is
-
integrated precision drug delivery platform for the brain. Our approach employs a novel two-component ultrasound strategy that first concentrates drug carriers within the target region and subsequently
-
to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces of life (biosignatures) – whether through remote sensing or direct on-site
-
curious, careful, and motivated by experimental research. You enjoy working with complex geochemical systems and are excited by the challenge of developing new methods and datasets. An MSc degree in
-
-tuning, or related optimization methods. Experience with cloud infrastructure, MLOps or LLMOps, containerization, or production deployment. Frontend and/or backend development skills. We offer ETH Zurich
-
applicability. By bridging machine learning, behavioural science, and clinical research, the project seeks to establish foundational methods for trustworthy agentic AI systems that can be deployed across diverse