Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
-
image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
-
need to be enrolled in one of the EPFL doctoral school programs. This is a separate application process that you can start in parallel. We suggest that you apply to the Doctoral Program in Mechanics
-
drives tumour development, childhood cancers lack the extended time frame needed to accumulate the mutations required for tumorigenesis by those routes. Therefore, endogenous mutagenic processes are a
-
. And it also allows you to operate multiple silicon carbide quantum systems in parallel, for the first time. (c) The final step is to demonstrate on-chip entanglement among two colour centres based
-
combined with soil sensors systems and UAVs with multispectral cameras. Your tasks in detail: Development and application of high resolution time-lapse GPR and EMI imaging methods at multiple scales
-
of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
-
of API design, asynchronous processes, service deployment and delivering highly available services. Define technical direction, and provide leadership for product initiatives. Engage with other leaders in
-
a powerful model for uncovering muscle-specific protective processes. Yet, significant gaps in our knowledge have hampered advancement in this field including the lack of molecular markers and