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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
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of colour vision loss. The experimental findings will be used to establish informed criteria for a new protocol for colour vision in Network Rail. The work is embedded within an established programme of
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PhD position: Nanoengineering refractory compositionally complex alloys for extreme conditions (M/F)
science. He/she will join a top-tier network of academic and institutional collaborations across Europe and the United States. Finally, this PhD offers an outstanding research training experience, highly
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Networks. The period of employment is 3 years. Candidates will be enrolled in a PhD degree program in the Katholieke Universiteit Leuven, Belgium. Eligibility criteria Candidates must also meet the
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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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Max Planck Institute for Multidisciplinary Sciences | Gottingen, Niedersachsen | Germany | about 18 hours ago
. The Position The selected PhD candidate will participate in the EU-funded HORIZON-MSCA-DN-2024-01 project LipAgg. The LipAgg network brings together partners from five European countries and comprises nine
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Europe Grant for Culture, creativity and inclusive society programme. The project aims to address key challenges on enhancing climate resilience and sustainable development in rural and small urban
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into actively morphing and efficient structures? Applications are invited for a 3.5-year UK PhD studentship for the project "Design, Experimental Investigation, Aeroelasticity Modelling and Control of an Aircraft
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
. • Academic transcripts / degree certificates or equivalent For candidates currently enrolled in a Master’s programme (M2) who have not yet defended their thesis but will do so before the start of the PhD: a
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement