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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
to better coordinate operators, equipment, and facilities, as well as manage operations across multiple projects and supply chain partners. A key part of this research is to investigate how AI can be
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assessed by the following criteria: academic record and research achievement relative to opportunity research environment and supervisory team research project and strategic alignment (projects that aim
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kinetics and mechanisms of reconstitution. The aim of the PhD is to identify the mechanisms that govern dairy powder reconstitution across multiple length scales, from powder beds and individual particles
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Strong written and verbal communication skills. Manage multiple projects simultaneously and meet tight deadlines. Work independently. Excellent organizational skills and attention to detail. Application
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class of hydrogels that offer superior control and consistency, aligned to pharmaceutical standards. The potential benefit is to enhance the consistency and predictability of tissue cultures, with
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an important tool for achieving multiple societal benefits and environmental goals. Through anaerobic digestion, a wide range of organic waste streams and residues can be treated while simultaneously closing
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
presents multiple theoretical and practical challenges. Supercomputers currently have the capacity to support the large-scale executions of numerous numerical simulations. This makes it possible to carry out
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the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included. About The Faculty of Science and Technology REALTEK is NMBU’s Faculty
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opportunity, promoting equity and recognising excellence and achievement. We want you to reach your potential and achieve your life and career goals. We encourage you to apply for multiple scholarships as you
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methodologically challenging. In realistic applications, uncertainty arises from multiple sources, including parametric uncertainty, model-form and structural assumptions, numerical discretization, and incomplete