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-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human
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research areas that can be interconnected to our new master's program in building technology with focus on sustainability and digitalization. Research results are expected to be published in journals of high
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a program coordinator and follow students and their progression throughout our programs. Qualifications requirements The qualification requirements for appointment as a Lecturer at Mälardalen
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pension. Read more on the University website about working with us. The Faculty of Science offers a career programme for assistant professor (associate senior lecturers) . Job description Employment as an
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the backbone of contemporary machine learning, yet conventional training methods often overlook the rich problem geometry that, when properly exploited, can enhance performance. In this project, we will, e.g
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diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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for school choice, segregation, resource allocation, and educational and career choices. The research group uses a wide range of methods, including field and survey experiments, register data studies, and
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assistant professor You hold a doctoral degree or have corresponding research expertise in fields such as Film Studies, Theater, Performing Arts, Digital Arts, Creative Technologies, Computational Media, Game
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will do The course FFY091 is structured around students completing laboratory work, numerical home assignments, and an optional problem set. Based on feedback from previous years, the optional problem
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effects. Cluster analysis and annotation: Perform cluster analysis to identify and comment on significant cell clusters and groupings in the data. Segmentation improvement: Enhance data segmentation methods