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Assistant professor in Computational biology -machine learning for multimodal molecular biology data
direct connection with NGI Stockholm. Subject field Computational biology with a focus on machine learning for multimodal molecular biology data. Subject description The subject covers the development and
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direct connection with NGI Stockholm . Subject field Computational biology with a focus on machine learning for multimodal molecular biology data. Subject description The subject covers the development and
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students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology
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computational biology. Our group also has a research line on Paleotranscriptomics and has recently sequenced RNA from the extinct Tasmanian tiger. The project revolves around our new agoTRIBE method
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Uppsala University, Department of Chemistry – BMC A position as a researcher in the group of Prof. Ylva Ivarsson, in the research program of Biochemistry, on the topic of protein-protein
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the environment, and how they are transmitted through populations. The research in this field have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe
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the environment, and how they are transmitted through populations. The research in this field have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe
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regulation, cell biology and computational systems biology. Additional projects and collaborations can build on other research projects and data sets in the lab, ongoing collaborative efforts, as
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the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science
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the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more