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of developing ethics plans and obtaining ethics approval; data collection/analysis; experience of working in a multi-disciplinary environment and coordinating work across research partnerships; an evidenced
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for teamwork We offer: the opportunity to complete a high-quality dissertation within an excellent, collaborative, and transdisciplinary research environment a lively community of PhD students on the campus
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mechanistic reach of the work. This is a basic science role embedded in a rich collaborative environment, supported by experimentalists across four universities and industry partners, with access to world-class
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of developing ethics plans and obtaining ethics approval; data collection/analysis; experience of working in a multi-disciplinary environment and coordinating work across research partnerships; an evidenced
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translational context, contributing to manuscripts, grant applications, and presentations. - Provide guidance and mentorship to junior researchers and contribute to the collaborative research environment
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clinical neuroscience. The ability to work independently whilst interacting effectively with clinicians, engineers and PhD students in a multidisciplinary environment is expected. A passion for teamwork
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and
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Janiuk. The primary responsibilities include scientific research related to the scope of the project. Additional duties will include consulting some of the tasks conducted by PhD students in our team
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Date 04/17/2026 Position Qualification Position Summary Our group synergizes the expertise of clinicians, physiologists, bioengineers, and molecular biologists in a dynamic research environment
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interdisciplinary environment spanning explainable AI, causality, knowledge representation, and neural networks. Research (90%) research in probabilistic machine learning and neuro-symbolic AI (e.g. neural nets