Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
-
, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
-
objectives with societal indicators, geophysical algorithm development and related research activities; supporting the implementation of the renewed ESA EO science strategy and the definition of future
-
on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
-
intelligence and machine learning technologies/algorithms Background in software engineering and programming languages, data analysis and BI tools Proven experience in technical project and service management
-
and conducting work in the modelling of EEPS (scene generators, geometry module, spacecraft, payload, forward and retrieval algorithms, level 0 to level 1 algorithms, etc.); initiating and conducting
-
and computing, to apply. One position will focus on the scaling, calibration, operation, and tuning of spin qubit arrays using algorithmic techniques, as part of an international project, with
-
processing; ensuring the provision of necessary instrument inputs for the development of level 1 processing tools/algorithms and the associated ground processor prototype; ensuring the timely availability
-
studies independently, working with diverse datasets, developing algorithms and decision rules, and contributing to the refinement of data-driven intervention strategies. Tasks As a postdoctoral researcher
-
. The proposed research examines judgment accuracy in the intensive care unit (ICU), You will investigate whether algorithmic advice can improve clinicians’ judgments, whether independent judgments or peer