Sort by
Refine Your Search
-
fully funded, full-time PhD position focused on the development of novel, energy-dense materials for asynchronous storage and dispatch of high-quality heat. The position is expected to start on 1 August
-
for their contributions (ETH medal, CHI Best Paper Award), we will first conduct a real-world study in which subjects are put under the influence of cannabis while performing a pre-driving test and a driving task on a test
-
and software for high-throughput retinal recordings, to conduct the respective measurements, as well as to further develop the data-evaluation and signal-analysis pipeline. The work will be performed in
-
bioinformatics-related images for computational pipelines. Evaluate and procure compute resources for High-Performance Computing (HPC) platforms, managing access. Write automation scripts (e.g., Python
-
for rapid, point-of-care diagnostics to address this challenge. This project aims to develop a novel diagnostic device, progressing from pre-clinical validation to clinical implementation. By leveraging high
-
Addressing challenges related to high-dimensional parameter spaces and complex performance criteria commonly encountered in RBDO Developing robust computational workflows for optimizing designs while
-
the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
-
contribute to the development and optimization of the training pipelines for these large-scale models, working at the intersection of cutting-edge research and high-performance computing to advance
-
contract, there is a possibility for extension based on programme needs and performance. Job description As the Admissions and Recruitment Manager, you will be instrumental in attracting top talent, managing
-
application of deep learning models. Experience with data pipelines following FAIR principles, with skills in compressed sensing, image noise reduction and big data management, cloud computing, high performance