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optical computing devices that can solve hard combinatorial problems. Such combinatorial problems are commonplace in our society, for instance in logistics, finance or pharmaceutical research. However, for
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platforms and case studies representative of boreal, temperate, and Mediterranean biomes with novel bioeconomic modelling and high-resolution modelling and mapping of complex risks. Our activities operate
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Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
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LLM, VLM and embodied AI, with specific applications to collaborative interaction with people. You will be supervised by Prof. Tony Belpaeme (www.tonybelpaeme.me) and will be part of a vibrant and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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fluently in English. You have good computer skills and data management skills. What we can offer you We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which
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scanning in forests; and (3) apply these methods to gain ecological insights in how forest structure is changing through time. This PhD project will be promoted by prof. Kim Calders, co-supervised by dr
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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do not accept late applications. For more information about this vacancy, please contact Prof. Xavier Verhelst, (xavier.verhelst@ugent.be , +32(0)9/3322371)
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling