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fuzzing technology by learning such models in real-time and using them to: guide the fuzzer, discover logical faults, and pin-point their root cause. This builds on the works of the cyber analytics lab
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development, molecular modelling to predict physical properties and process flowsheet modelling. The experimental work will be conducted at the bio-process lab of the industrial partner. Job requirements
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be a member of the Computational Biomechanics Lab in BioMechanical Engineering and the Human-Robot Collaboration lab in Cognitive Robotics. You will be supervised by associate professor Ajay Seth and
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we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and
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conversion and plasma catalysis; as well as on advanced plasma and surface diagnostics and material growth processes. The group offers well-equipped labs, excellent technical support and an enjoyable and
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immune targets. Mac4Me will use animal-free organ-on-chip (OoC) systems to recapitulate early liver, bone and brain metastasis of cancer developing across our life, such as neuroblastoma, breast and
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students and academic faculty in the Building Knowledge Section, in the Department of Architecture at TU Delft. The project is a fixed timeline of four years, with a go-no-go session after approximately one
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sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation
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Delft, you will be an affiliated researcher with the ICAI AI for Energy Grids Lab and with Delft AI Energy Lab where we combine ground-breaking AI methods with the reliable theory of the physical energy
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experience with cellular and molecular models in the lab, such as qPCR. - You are enthusiastic and curious about experimental research and have affinity for fundamental and translational research. - You are