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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
sector for accelerated and successful use of AI. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business
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chains and security in a tense geopolitical situation. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization
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on genetically and optically tractable arthropod species that satisfy a number of appealing biological and technical requirements. We combine advanced microscopy and image analysis pipelines with genetic and
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dynamically balance throughput, latency, reliability, and energy efficiency according to users' needs and changing network conditions. Meeting these demands requires a new networking paradigm. RF communication
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research, development and implementation studies, develop prototype tools and other devices, as well as provide research and technological services. The recipients of our solutions are, among others
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cell biology, and experience working with plants are pluses. We offer training in advanced imaging, and various molecular & genetic skills for investigating fundamental cellular mechanisms. The lab is
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using a laboratory-scale prototype representing a selected electrified energy application, such as electric propulsion or another high-performance energy conversion system The PhD candidate will
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linked to its research areas ranging across Chemical Biology, Biosensing, Biomaterials, Biomechanics, Tissue Engineering, Computational Biology, Biomedical Imaging and Modelling, with 800+ students and 200
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system for ferry quays, containing labelled damage data as training material for a machine learning model capable of automatically classifying structural damage from drone inspection images. The project