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regularly mentor committed talents who want to conduct cutting-edge research with us. At our institute, our employees delve into exciting projects and develop individual products and services for our clients
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Sustainable Development Goals of the United Nations. As an institute of the Fraunhofer-Gesellschaft, we show how to not only master challenges, but grow with them. We push boundaries, think ahead and shape
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 12 days ago
. This PhD project focuses on developing next-generation optical microscopy methods that push both spatial and temporal resolution, enabling nanoscale, real-time observation of cellular dynamics currently
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 6 hours ago
and workflows in proteomic analysis Development of new methods for sample preparation, chromatographic analysis, LC-MS data acquisition and data interpretation, with a focus on histone analysis Your
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computational simulations to understand the combustion of solid propellants across different scales. You will further develop an existing simulation code based on the discontinuous Galerkin method. In doing so
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computational simulations to understand the combustion of solid propellants across different scales. You will further develop an existing simulation code based on the discontinuous Galerkin method. In doing so
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validate and further develop our models. The focus of this project lies on combustion kinetics. The objective is to develop a mesoscale description of solid propellant combustion based on global chemical
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part of change Contributing to the development of the next generation optical wireless communication systems Familiarization with physcial layer and technical basics of optical wireless communication and
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advanced integrated transceivers for radar and telecom. In addition, we develop novel autonomous RF measurement systems for improved RF power transistor characterization and the optimization of such devices
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of machine learning for engineering applications to start as soon as possible. Be part of change Developing and benchmarking Neural Network architectures (Graph Neural Networks, Transformers, etc