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behaves and how it is produced in complex health care processes. Statistical modelling: Depending on your previous competence, building advanced statistical, causal, and predictive models describing disease
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tools. We additionally value expertise in behavioral measurements, neurostimulation, or computational modelling. While the scope of the position is broad, the new professor is expected to have a strong
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at the institute operate across multiple scales of biological resolution in the areas of Structural Biology, Molecular and Cell Biology, Developmental Biology, Genomics, and Evolutionary Biology. We seek an early
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the university’s research platforms, such as Modelling Reality Through Simulation (MORE-SIM) and Integrated Energy Conversion Machinery (INERCOM) and it will collaborate with all laboratories at LUT, but especially
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at the institute operate across multiple scales of biological resolution in the areas of Structural Biology, Molecular and Cell Biology, Developmental Biology, Genomics, and Evolutionary Biology. We seek an early
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emission and its underlying processes. The lack of continuous observations of CH4 turnover hinders our understanding of CH4 emission variability and the predictability of mechanistic CH4 models. We aim
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-of-the-art infrastructures including core facilities for e.g. DNA sequencing and genomics, proteomics, metabolomics, lipidomics, light- and electron microscopy as well as work with model organisms (https
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to demonstrate fluency in English. Colleagues and infrastructure Research at the Department of Neuroscience and Biomedical Engineering encompasses multiple disciplines. While we are looking for a new faculty
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coordinates multiple large-scale research projects and globally unique data resources, such as FinnGen, nationwide health registry data and the Finnish Twin Study and leads the molecular profiling of cancer
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coordinates multiple large-scale research projects and globally unique data resources, such as FinnGen , nationwide health registry data and the Finnish Twin Study and leads the molecular profiling of cancer