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carried out and data is generated? Then keep reading. The Natural Products Genome Mining Section at DTU Biosustain studies multiple aspects of Actinomycete bacteria, for example their genomics, molecular
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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cells from different mouse models with accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate
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from physical constraints and evolutionary pressures, across multiple scales — from proteins to regulatory networks. The group combines principles from statistical physics, systems biology, and
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accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate regulators of age-associated reprogramming
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should lead to a closed-loop fluidic system, that can be operated without manual intervention. Moreover, through data mining of the experimental dataset, it is envisioned that (several) biomarkers
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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Corporation (GRDC)’s initiative, multiple PhD Scholarship positions have been made available on developing new data analytics methods and modelling for grain research innovation and ensuring enduring