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. Read more about the ABIS Project here: https://www.sdu.dk/da/nyheder/nnf_bevilling_dannelsesbegreb The position The position contributes to the theoretical and innovative work of the ABIS project, which
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to the research, teaching and general academic environment of the department and to promote the overall strategy of the department and Aarhus BSS. You are expected to teach and supervise students at Bachelor’s
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for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) within the field of statistical and machine learning methods development for genetic analysis and causal
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of undergraduate and graduate students. Information on the department can be found at: https://isim.ku.dk/ Our research Copenhagen Hepatitis C Program (CO-HEP) is a joint research effort between Faculty of Health
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computational methods as the necessary foundation to venturing and expanding the field through modern approaches in machine learning and artificial intelligence. The appointment is hosted by the Department
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about the department here: https://www.economics.ku.dk/ Duties and Responsibilities The duties and responsibilities of the post include contributing to the scholarship and intellectual life
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such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance computing retrieving ecologically relevant environmental data from national to global databases research and/or
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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The Department of Electrical and Computer Engineering (ECE) at Aarhus University (AU) invites applications for a tenure-track position as Assistant Professor in Electronics. We seek a talented and
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within AAU’s PBL project-based learning environment. Your competencies We are looking for a candidate with a PhD in Media Technology, Computer Science, Human-Computer Interaction or a related field with a