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optimize production. Supervisor: doc. Ing. Martin Kotus, PhD. More information about PhD position: https://tf.uniag.sk/sk/doktorandske-studium-2 Additional admin information: renata.zahorska@uniag.sk Where
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objectives of the project by identifying optimal land management solutions to balance food production, greenhouse gas emissions reduction, nature conservation, and economic co-benefits. This will involve
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are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
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collection and analysis systems. Deploy prototypes in the field and optimize their performance based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work
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Laboratoire de Glycochimie et des Agroressources d'Amiens UR 7378 | Amiens, Picardie | France | 1 day ago
encapsulation, functional materials, as well as environmental and biomedical applications. The PhD project will include several parts: Development of selective functionalization methodologies for cyclodextrins
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optimization is necessary for lower optical losses, increased component performance, and improved interfacing with optical fibers. The advertised position will work on two main projects: (1) TFLN circuit
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, such as heterogeneity of data sources and communication constraints. By leveraging tools from statistical signal processing, machine learning, optimization, and mathematical modeling, the project aims
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Intelligence Unit looking for talented and motivated candidates to work on applying AI techniques to model, predict and optimize energy systems. Join us at the heart of a mission that truly matters: transforming
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100%, Zurich, fixed-term The Swiss Seismological Service (SED) at ETH Zurich invites applications for a PhD position within a multi-year applied research project on the detection, localization and
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://drive.google.com/file/d/17SY2HfckkPZp8GVtRelkIxrGhikP92nN/view?usp=sharing Job Requirements REQUIRED: PhD in materials science, physics, electrical engineering, chemical engineering, or a related field by the start