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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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this process who will provide you with guidance for the implementation, but independent work, in general, is required and appreciated. The workload consists of up to 15 hours per week during the semester. We
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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
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to benefit from latest advances in hardware technologies the ICON model was ported to run on Graphics Processing Units (GPUs) and is one of the first model that can be used in production
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is a key-enabling technology for advanced manufacturing. In order to address increasingly complex demands on joining (dissimilar materials combinations, miniaturisation, extreme operation conditions
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grades) two potential references, and letters of reference or recommendation (only if available, e.g. from internships, no need to request new ones at this stage of the application process) Please note
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profile You are board certified in Anesthesiology, Internal Medicine, Surgery or Emergency Medicine and you have extensive and long-standing experience in emergency medicine. You have demonstrated expertise
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To submit an application, you need a written confirmation from the research institution. At UZH, you will receive the confirmation letter via the approval process in AVA, the UZH third-party funding
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the document below for details. - Meet the admission requirements of the applied universities in terms of academic ability, language proficiency and other relevant criteria. Application Process: 1. The applicant
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further into development in urban & landscape planning and AEC. The scope may include planning, construction, operation or an approach for better project integration across the full value chain. Proposed