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to receiving your application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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well as developing methods to study and characterize these processes. Within the research group, we highly value a positive work environment characterized by respect and care in our relationships with one another. We
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. The project focuses on developing novel representation learning and generative modeling methods to construct a unified cellular morphology state space across heterogeneous datasets. By leveraging shared
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School Data-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
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applications. Documenting experiments and method development for project tracking and publications; being updated with current with relevant technologies and scientific literature; and participating in
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methods for analysis of cellular and molecular biology data. The host institution, The Department of Gene Technology , is the most prominent research environment at KTH, according to bibliometrics
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contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural
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internationally outstanding research in the life sciences. Project description We seek two highly motivated postdoctoral researchers to develop new mathematical and computational methods for modeling developmental
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protein analysis methods Preferred qualifications Experience from biotech/pharmaceutical industry or relevant academic research environment Experience with structural biology, especially cryo-EM Experience
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collaborate with co-supervisor Erik Martens on the computational modelling component of the project. The duties may also include participation in teaching, but no more than 20% of working hours. You will