Sort by
Refine Your Search
-
candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable cancer care in
-
geometrical changes [Nat Commun. 16, 11388]. In this project you will push the boundaries of algorithm based reconstruction of nanoscale strongly scattering geometries from their radiation pattern. We seek
-
are looking for a PhD candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable
-
technological and (health) application perspective; planning and conducting benchtop spectroscopy experiments; data analysis, quantifying sensitivity and performance of the technology, and formulating algorithms
-
of platform data handling and payload data processing equipment; the implementation, inference, verification and validation of algorithms** on data processing hardware platforms for space applications** in
-
environmental fate and behaviour models for soil, surface water, and groundwater systems; implement and improve model algorithms; analyse and interpret simulation results for risk assessments; collaborate with
-
of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
-
algorithms in front-ends, wireline and wireless interfaces, converters, FPGAs, microprocessors, microcontrollers and IP cores throughout all project phases; analysing and profiling the implementation
-
benchtop spectroscopy experiments; data analysis, quantifying sensitivity and performance of the technology, and formulating algorithms for automated data interpretation and reporting; completing relevant
-
of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms