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Field
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interaction, evolution and learning to act successfully in our world, our understanding of these phenomena is still limited. The synthesis of intelligent, autonomous, learning systems remains a major scientific
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profile is shaped in particular by five high-profile areas. About Minds, Media, Machines Minds, Media, Machines (MMM) is one of the five interdisciplinary, high-profile areas that largely define
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area has received best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Environment
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Germany Immunohistochemistry and/or RNA in-situ hybridization and light microscopy High degree of motivation, willingness to learn and team spirit Strong sense of responsibility, organisational skills, high
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. Interdisciplinary work is encouraged so that junior researchers can assess the value of their own work in relation to the whole. e-Learning “Good Academic Practice” “Studying and Then Earning a Doctorate?” For
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to academic feedback. The work will be grounded in psychological theories of learning and motivation. We welcome applicants from psychology, cognitive science, cognitive and affective neuroscience
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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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. Responsibilities We offer two PhD positions, eachexploring a different part of this challenge: PhD 1:Teach anaerobes to survive a breath of air. You will push oxygen-sensitive microbes to their limits, uncover how
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-positive future. Responsibilities We offer two PhD positions (m/f/d, E13 TV-L, 65%) each exploring a different part of this challenge: PhD 1: Teach anaerobes to survive a breath of air. You will push oxygen
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diagnosis, and knowledge of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in