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Universities (CAO-NU) (scale P). This is based on a full-time working week of 38 hours. We offer a temporary contract for 18 months which will be extended for the duration of the project if you perform well
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); and you will carry out a mixed-methods study on the feasibility and preliminary effectiveness of the program (Study 5). You will: Manage the project, including scheduling meetings with the supervisory
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of data driven by observation. You will learn to run simulations on high-performance computing clusters, ranging from broad parameter studies with rapid binary-population synthesis codes to detailed stellar
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of Civil Engineering & Geosciences. Our diverse team of PhDs, postdocs, project managers and professors all share the ambition to develop smart, sustainable, and equitable mobility systems. Our unique 12
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enables the Faculty to assess performance against the highest international standards. It also creates an exciting environment of continuous improvement. FEB's programmes, academic staff and research do
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(Study 5). You will: Manage the project, including scheduling meetings with the supervisory team, preparing agendas, and documenting meetings and research activities; Design and prepare the studies (e.g
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PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different
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to the design and day-to-day operation of a Living Lab and stimulate co-creation of alternative housing solutions together with local stakeholders, first and foremost among them being the resident communities
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, why does a machine learning model predict that it is unsafe to discharge a certain patient from the intensive care? Or which characteristics make a machine learning model flag a certain bank transfer as
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tasks. Making machine learning interpretable, however, is not enough to make it fully useable for practitioners, for example in the health care domain, for two reasons. The first reason is that most