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-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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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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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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genomics, with cutting-edge methods, large data sets and good resources A creative role combining a high degree of autonomy with mentorship from Dr. Lappalainen and interactions with colleagues in the lab
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these questions through an interdisciplinary lens, with a strong focus on mathematical and computational methods closely connected to evolutionary theory and biological data. Read more about our research themes and
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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, chemical, biochemical and physical research areas. You will be involved in teaching methodology courses at postgraduate level and provide user training on EM methods. Work assignments include, operation and
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, chemical, biochemical and physical research areas. You will be involved in teaching methodology courses at postgraduate level and provide user training on EM methods. Work assignments include, operation and
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with various disease states. There is also strong research in method and technology development, including the design and synthesis of small organic molecules and biological macromolecules. Development
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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