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– protein interactions or enzyme optimization. Main responsibilities The successful candidate will use and develop methods within one, or preferably multiple, of the following categories: Sequence library
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to super-resolution microscopy. The platform enables visualization of biological systems at multiple scales – from molecules to tissues – using state-of-the-art instruments that are not normally available in
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. With cutting-edge research, top-tier education, and extensive collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational
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of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. SciLifeLab SciLifeLab is an academic collaboration between multiple Swedish universities
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phase where we are developing our working methods together. As an employee within Support services, you will contribute to KTH’s mission to research, educate and create societal benefits, and at the same
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academic collaboration between multiple Swedish universities and distributed national research infrastructure with a distinct focus on health and environmental research (http://www.scilifelab.se ). The core
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data
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universities KTH, KI, SU and UU and with operations at most other universities in Sweden. The collaboration across university boundaries creates synergies that drive research forward and the high-tech methods
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multiple locations in Sweden. It serves as the bioinformatics platform at SciLifeLab, a national resource that facilitates research in molecular biosciences by offering access to state-of-the-art
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular