82 modelling-complexity-geocomputation PhD positions at Technical University of Denmark
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nanoparticles and reactions at the atomic-level by combining path-breaking advances in electron microscopy, microfabricated nanoreactors, nanoparticle synthesis and computational modelling. The radical new
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accumulate in groundwater and are difficult to clean up during drinking water production, posing significant concerns for society. Chemical identification in complex samples is time-consuming, necessitating
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sustainable energy. Responsibilities and qualifications Biohybrid systems offer unique energy-efficient routes to harness solar energy for the fixation of CO2 and nitrogen into valuable, complex molecules
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of the following areas and an interest to develop within others: Protein chemistry Enzyme kinetics and kinetic modelling Experimental physical chemistry Electrochemistry Assay development and
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intelligence. This PhD project will leverage the power of field-programmable gate arrays (FPGA) to deploy machine learning models on the edge with low latency and high energy efficiency. This added intelligence
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designs, building effective and conceptual models to inform our theoretical understanding, and developing code and theory frameworks to address new topological phenomena. Depending on the project’s results
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restraint conditions. A key goal is to develop both a sensor system and a prediction model for the short- and long-term deformation behaviour of concrete. These tools will be applied to full-scale structural
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collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with
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for these types of experiments at the single cell level. Your primary tasks will be to: Design and conduct experiments to generate high-quality datasets Analyze and interpret complex datasets related to gene
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R Experience with single-cell RNA-sequencing, in particular analysis of data would be an advantage Experience with mouse models and possession of a FELASA B certificate would be an advantage as both