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Optimization group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of mathematical phylogenetics. Phylogenetic networks are directed acyclic graphs
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traffic management. Model and assess the integration of hydrogen and electric aircraft into European airspace and support the EU Green Deal net-zero emissions goals. Job description We are seeking a
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: Experience with physiological or movement data, such as electrocardiography or wearable sensor data. What else do we offer you We offer a temporary full-time position of 38 hours a week for a term of 4 years
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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Delft. In this team, consisting of several PhD students, postdocs and undergraduates, we focus on developing new concepts for 3D imaging of nanostructures, using light. Job requirements A masters degree
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empirical and analytical quality in close collaboration with the PI and the Postdoc; Publishing in leading international peer-reviewed journals and contributing to edited volumes or other publications where
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degradation of selected contaminates The PhD will work closely with a Postdoc who focuses on physicochemical treatment and resource recovery strategies. Together, you form the core research team within
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with other PhDs, Postdocs, and EngDs working on legal and regulatory innovations, transformation pathways, new treatment technologies, and digital twins. Research topic You will investigate
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networks, Internet of Things sensors, and analytics platforms that gather data from those infrastructures, as well as telecommunications networks. To fully support the operation of cities, telecommunications
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you wonder how AI and sensor technology are changing our view of animal welfare and the human-animal relationship? And do you want to explore the opportunities and dilemmas that this technological