Sort by
Refine Your Search
-
plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
-
toxic substance. Therefore, methods for detecting, quantifying and separating enantiomers are critical to many fields, including biochemistry and pharmaceutics. However, standard methods are often not
-
multiphoton microscopy, you will explore the molecular and cellular mechanisms of foreign body reactions. In parallel, you will collaborate with engineers to design and test microgels with tunable surface
-
FEniCS are a plus A keen interest in computational mechanics and in scientific methods and research in general Workplace Workplace We offer Your job with impact: Become part of ETH Zurich, which not only
-
, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
-
experience in developing software for scientific applications, data analysis, or real-time systems is desirable. Experience with parallel computing and optimization techniques for handling large datasets
-
. Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers
-
biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite
-
understanding of travel behavior and mobility. Our research has strong conceptual and theoretical foundations, is ideally based on primary data, uses a mix of methods, and tries to infer causality as strongly as
-
the adoption of data science and machine learning methods within these diverse disciplines. Project background At the Swiss Data Science Center we work extensively in the application of machine learning