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Are you passionate about applying computational approaches to solve problems within chemistry and biology? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a
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applications Multimodal data integration and prediction, including clinical, medical imaging, and sensor data (e.g. ECGs) The PhD student will have the opportunity to conduct both methodological and applied
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inclusive research groups. Your role The UBIX Research Group is searching a PhD candidate to work on data-driven sustainable energy systems. The successful candidate will join the UBIX Research Group, led by
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of shared local, state, national, and global communities. More information about ASU’s Charter and Design Aspirations is available at the following link: https://newamericanuniversity.asu.edu/about/asu
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PhD in Data-Driven Modeling of Homogeneous Catalysts (1.0 FTE) (V25.0035) « Back to the overview Job description Among the most challenging to develop catalytic reactions are stereoselective
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results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular
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This page contains information for students who have been awarded a doctoral scholarship for study at Waipapa Taumata Rau | University of Auckland. University of Auckland Doctoral Scholarship
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circuitry during behavior, to the quantification of natural animal behaviors. We are looking for a PhD student to work on a joint project between the Neural Information Flow (Scholz) and Genetics of Behavior
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 26 days ago
Information Flow (Scholz) and Genetics of Behavior (Lightfoot) groups. Using a comparative approach, we aim to understand how evolution has adapted existing behaviors and invented novel ones through alterations
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-mounted ground-penetrating radar (GPR) with smart meter data to transform leak detection. Drones equipped with GPR will identify underground anomalies, while smart meter data will refine localisation