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Field
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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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. Participation in training and major event planning is also meritorious as SciLifeLab provides training in various methods and techniques. Experience from working within or with governmental bodies is an advantage
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Subject description Mathematics in a broad sense, which also includes mathematical statistics, numerical analysis and optimization theory. Duties As an associate professor within the framework
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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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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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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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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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have a background in bioinformatics, computational cancer biology, or related fields with experience in cancer and data-driven research. For more details about our research visit: www.alundberg.org
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab