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in technology driven life sciences. Lehtiö group is a translational group of scientists with a drive to improve human proteome analysis by developing new methods that can be applied to improve
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, or network-based, Bayesian or matrix factorization methods for multi-omics integration Ability to independently perform data analysis and scientific interpretation based on omics data at an internationally
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). The staff scientist will provide scientific and technical support to research projects related to toxicological method development and mechanistic studies. The role will be integral to maintaining and
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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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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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