4 bayesian-inference-tracking PhD positions at Delft University of Technology (TU Delft) in Netherlands
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modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding requirements: You cannot have resided in The Netherlands in
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to track how the prevalences of different strains in a mixed sample change over time. Your role: You will develop and implement algorithms to find, quantify and track mutations in evolving populations
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on-demand ridepooling service, tracking the vehicles’ routes, and allocating fixed lines wherever vehicles concentrated the most. For the implementation of the system, users will be allocated, in real time
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image analysis, and set-up super-resolution microscopy to track these changes. Combine experimental data with multiscale modelling, in close collaboration with the theoretical physicist Dr. Jos Zwanikken