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recruit A specialist in computer science or digital humanities m/f/x 1 open-ended FTE: 50% PostDoc (UCLouvain) and 50% project manager (AGR) with a particular interest in the automatic processing of digital
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Architecture Search (NAS) that can automatically design efficient deep learning models optimized for specific embedded hardware platforms. These models will be deployed in resource-constrained, standalone
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language of this project is English, and the candidate should be proficient in written and spoken English (also at teaching level). Requirements are listed here: https://set.kuleuven.be/phd/applicants
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quality. This sensor technology will be implemented in automatic milking systems to monitor the milk quality at the level of individual mammary glands. This will allow for the elimination of systemic
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through comprehensive training, career development, and networking. http://set.kuleuven.be/phd The remuneration is generous and in line with standard KU Leuven rates, consisting of a net monthly salary of
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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, including workflow optimisation, automatization, equipment procurement, and SOP development. Coordinate the derivation, quality control and biobanking of patient-derived iPSC lines, in collaboration with core
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* for combinatorial solving; some details can be found below. The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description and automatically compute
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Leuven enjoy a number of benefits, such as a wide range of training and education opportunities, a vacation allowance and end-of-year bonus, yearly accumulation of seniority with automatic pay indexation
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational