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or malicious inputs. Implementing and evaluating the developed methods on embedded computing platforms and hardware prototypes in collaboration with the PhD student working on the power electronics aspects
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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, updated with anti-nutrient content (phytate, tannins, oxalate), to apply and further develop mathematical models to estimate the absorbable micronutrient content from meals and dietary patterns. You will
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personnel. It is necessary to realize experience feedback on cases for which extinguishing, means were insufficient and find new indicators, notably biochemical, to better estimate the potential firepower in
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CHP units, the wider energy system risks losing a crucial flexibility resource. Through strategic integration hybrid energy storage systems with greenhouse operations via optimization methods, control
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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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a recruitment position with a duration of 3 years. The project aims to further develop and optimize methods within assisted reproductive technologies (ART) in pigs, including Ovum Pick-Up (OPU), in
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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vision methods for analysis of the non-verbal communication of humans in a therapy setting (client + therapist). This includes working with human pose estimation, facial expressions and micro-expressions