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the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. - Publication of research results and presentation of results at scientific conferences
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of language, seeks to use bespoke probabilistic models and/or computational simulations to study possible routes of the evolution of human pragmatic practices. As a starting point, the project seeks to develop
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approaches but also to practically test them directly on real test vehicles – from first simulation to real-world driving. An innovative working environment with modern laboratories and simulation environments
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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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measurements in a team of experts on and in the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. Publication of research results and
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groups to apply. Applications should be sent by e-mail, together with significant documents (Your application should include a cover letter, your CV, a copy/scan of your degree and course transcripts
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of great ape communication to identify evolutionary trends and simulate dynamics that might explain the evolution of common ground in humans. For more information see the following representative articles
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. This project will focus directly on the evolution of common ground. We will explore the implied cognitive complexity of great ape communication to identify evolutionary trends and simulate dynamics that might
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to characterize network-wide interventions, like reallocating road space or travel demand management schemes. Second, to develop an MFD-based traffic simulation linked to the agent-based simulation environment