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activities promoting research impact. contribute to the design, development, and implementation of robotic and AI systems within the scope of the project. collaborate closely with industrial and academic
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of their impact on cellular and molecular phenotype of iPSC-derived neurons and glia. The work will involve (i) establishment of cultures of iPSC-derived neuronal and glial cells (ii) design of CRISPRa/i strategies
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course per semester in a 50% employment contract you support the professor for Islamic art history in research, teaching and administration and you are prepared to take on tasks at the department you plan
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activities promoting research impact. contribute to the design, development, and implementation of robotic and AI systems within the scope of the project. collaborate closely with industrial and academic
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relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects. To deliver training
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-term position expected to last 36 months. Our current plan is to have online interviews, with interview questions provided in advance. For an informal discussion of these roles, or if you have any
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developing and maintaining radar equipment designed to capture quantitative data on pyroclastic density currents during volcanic eruptions. The successful candidate will have an engineering background and
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independently. Design, code and refine experimental tasks, protocols and data preprocessing and analysis pipelines, and contribute to writing manuscripts for submission to peer‑reviewed journals. Train junior
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or biomedical sciences. They will be expected to design and conduct experiments independently, have excellent written and verbal communication skills, be highly collaborative, co-supervise students and contribute
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small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal