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Field
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goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating, for example, the location and spectral
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Forecasting Agent-based Modelling and Simulation Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical
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Stuttgart to work and exchange with the DLR team involved in the project. - PhD/Post-Doc in the field of economic modelling/simulation of energy systems. - Interest in the energy transition and in
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strengthen your application: Experience in matrix hydrodynamics and Zeitlin's model for the simulation of 2-D turbulence. What you will do Supervise master’s and/or PhD students to a certain extent Possibility
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statistical and mathematical modeling. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Research in mathematical
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content of brain wiring. : PhD in mathematics or a related field. : Previous academic experience with information theory in basic or applied research. We are not looking for a data analyst of 'omics' data
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contribute to the advancement of the field. Requirements: Theorem-proving Background: A strong foundation in mathematical modeling, particularly stochastic processes, information theory and discrete
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photosynthetic membranes. Specifically, pump-probe ultrafast nanoscopy of transport in model OPVs and light-harvesting complexes. Specifically, advance structured excitation methods for low light level exciton
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming
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The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as finite elements, finite volumes, etc. Practical knowledge of at least one programming