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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 1 hour ago
positions may start their PhD projects at other times throughout the year. The average duration of PhD research in the IMPRS is between three and four years. Application deadline A central application call
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Stay engaged with the latest research, experimenting with cutting
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research questions from several fields such as software and domain engineering, system modelling and analysis, application adaptability and integration, human computer interaction, security, and
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Neuroscience uses theoretical approaches from this broad range of disciplines to integrate experiment, data analysis and modelling in order to understand the brain. Furthermore, it makes a scientific language
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design innovative memory arrays for non-volatile memories Develop
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Responsible for RTL design (VHDL, Verilog) of digital blocks and
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Responsible for writing Verilog/ VHDL code for AI blocks Perform
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of the a.r.t.e.s. Graduate School provides a structured doctoral model with an interdisciplinary approach. The individual doctoral studies are combined with a set of guided courses. Supervision is provided through a
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regulation, using various models of developmental and disease biology. The past three decades of genetics research have been catalysed by technologies that map genomic information at increasingly larger scales