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implementing AI/ML methods (e.g., machine learning, deep learning) for life science research. Collaborating with research groups to identify needs and opportunities for AI/ML support in their projects
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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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experience working with deep learning methods for biomedical applications. Academic and Project Excellence: Evidence of high-quality research work, as demonstrated by academic grades, the merit of prior degree
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pharmacological research, the Department of Medical Cell Biology is now seeking a professor in pharmacology with a preclinical focus. The department has access to a wide range of methods, including advanced
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environment. A willingness to learn new methods and an ability to acquire new skills is a requirement for this position. Additional qualifications Experience with tools and technologies that promote
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data as well as other modalities (i.e. microbiome) generated using the Spatial metaTranscriptomics (SmT) method. In addition, the PhD student will also apply Spatial Transcriptomics and single-cell
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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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university boundaries creates synergies that drive research forward and the high-tech methods enable research that would otherwise not be possible in Sweden. At SciLifeLab, we do not only apply the latest and
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on how your research can be further developed into innovations. You are interested in driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize