Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
future scenarios. Specifically, we will use spatially explicit surrogate models, which can accurately approximate the complex outputs of computationally expensive transport simulations in a fraction of the
-
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
-
to automatically process user manuals or process videos and extract relevant information. Further research will focus on advanced computer vision algorithms for defect detection. The research projects are usually
-
efficiency, particularly with respect to latency. Project background The successful candidate will join the BMIC team at ETH Zurich and also be a part of the Computer Vision Lab (CVL). The project is conducted
-
large scale for assessing and estimating mass balance. The second topic centers on the characterization and identification of glacier crevasses and their dynamics over time through high-resolution SAR
-
analysis Developing methods to improve the accuracy and robustness of parameter estimation and uncertainty quantification using Bayesian techniques Applying the developed methods to calibrate and validate
-
science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
-
diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from anthropology and social science to biostatistics and
-
tools. We predict chemical reactivity and molecular properties using machine learning, artificial intelligence, computational chemistry, and cheminformatics. Our ultimate goal is the computer-aided design
-
(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and