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Field
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. Desirable Criteria Experience implementing machine learning or deep learning models (e.g., neural networks, probabilistic learning methods). Knowledge of state estimation techniques, such as Kalman filters
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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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systematically improve the quality of production processes and final products. Continuous improvement must be implemented as a managed and ongoing system supported by modern quality management methods and computer
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days ago
to identify the object landmarks that can be used for localization in a given environment. Moreover, object detectors used in these methods must be finetuned to recognize objects beyond common categories
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substantial hurdles for storage, transmissibility, and long-term curation. This PhD project aims to address these challenges by researching and developing specialized lossless and lossy compression methods
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through a One Welfare and human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate
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human activities, and a probabilistic analysis of the risks associated with their development by 2050. 1. Literature review of multi-scale modelling methods for cumulative effects Initially, a
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tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 29 days ago
Tong Zhang. Communication-efficient distributed optimization using an approximate newton-type method. In International conference on machine learning, pages 1000–1008. PMLR, 2014. [6] Lucas Theis, Wenzhe
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scientific methods, often in conjunction, including qualitative data collection and analysis via semi-structured interviews, structural micro-econometric modeling and estimation, and statistical analysis