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science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and entrepreneurship
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resolution imaging techniques and flow cytometry to address key questions. The prospective candidate should have the knowledge to perform cell culture works and a willingness to learn and trouble shoot new
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to September 2031 Closing date: 20th October 2026 There are 2 positions available Background Vasculogenic mimicry (VM) is the process by which tumour cells imitate blood vessels allowing tumours to grow far
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interventions. We will enable collaboration between communities, academia, health and care, to drive meaningful change in health equality and social connection. In the process, we will impact research and policy
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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should have experience in real-time processing or FPGA-based prototyping or embedded sensing architectures, or machine-learning-driven analysis for photon-limited measurements. Exposure to event-driven
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discipline Experience or knowledge in imaging systems, computer vision, or related technical areas Strong analytical, problem-solving, and communication skills Ability to work independently as well as in a
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or connectivity analysis; machine-learning or deep-learning methods for geospatial analyses; ecological or remote-sensing fieldwork, particularly in alpine environments; Google Earth Engine, geodatabases or cloud
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analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities Plan and execute experimental workflows to achieve project
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-UAS technologies o Multi-agent systems and swarm robotics o Autonomous navigation and guidance o Computer vision and perception o Machine learning