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stakeholders in the Dutch battery ecosystem to develop and demonstrate the next-generation algorithms and models for the future Battery Management System. The PhD student will work on topics related to: Develop
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graph learning models, primarily geared towards assisting combinatorial solvers for practical graph algorithm benchmarks. Please find out more here: Dr. G. Rattan Your profile You have, or will shortly
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particular, the work plan includes the following activities: - Develop a methodology for interpreting and digitizing fire safety regulations for buildings using Artificial Intelligence algorithms, including
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Application Deadline: Applications accepted all year round How to apply: https://uom.link/pgr-apply-2526 UK Only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful
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) Experience in deep learning algorithms is a plus Ability to work in a highly international team and interdisciplinary project applicants are expected to have excellent language skills in English Opportunity
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 12 days ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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The Tadeusz Manteuffel Institute History of the Polish Academy of Sciences | Poland | about 10 hours ago
of the algorithm for allocating the statutory research subsidy. *This period may be extended by the time of any long-term (in excess of 90 days) documented sick leave or physiotherapy leave granted on account of
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computational cognition. The successful candidate will work at the intersection of AI research, cognitive modelling, and human–machine interaction, contributing to the design of algorithms that incorporate
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focuses on the design of approximation algorithms for multi-dimensional packing and scheduling problems. The position offers the opportunity to contribute to the theoretical foundations of discrete
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MV-CT workflow for historical waste characterization at SCK CEN’s LNK (Laboratory of nuclear calibrations) facility. Key innovations include advanced physics-informed reconstruction algorithms and