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Field
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-edge solutions and pushing the boundaries in the field Develop advanced artificial neural networks (ANN), including training, mapping, and weight quantization Collaborate with cross-functional teams
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of mobile and flexible work PhD Buddy Program family-friendly company policy with childcare facilities, e.g. nursery close to the company free assistance program for employees (EAP) corporate benefits a
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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to machine learning and deep neural networks, into the DG finite element solver to reduce computational costs while maintaining the accuracy. The key objective of this work will be to provide step-change
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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workplace equipment 6 weeks holiday per year; company holidays between Christmas and New Year's Day very good compatibility private and professional life; offers of mobile and flexible work PhD Buddy Program
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PhD programme within QMUL’s Wolfson Institute of Public Health, under the supervision of Dr Giuliano Russo (WIPH) and Prof. Pietro Panzarasa (School of Business and Management). As part of the project
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD student position in Computer Science with a focus on visual language
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PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and