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, Machine Learning Frameworks, ROS etc.) are needed and demonstrated expertise in at least one of neural networks or intelligent robotics is needed for these positions. Prior publication in a relevant AI
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Your Job: In this position, you will be an active member of our "Simulation and Data Lab for AI and Machine Learning in Remote Sensing", which aims to strengthen interdisciplinary research by
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for Astronomy in Germany. The StarForML group focuses on developing robust machine learning tools for the evaluation of star formation observations. We aim to gain new insights into how star formation progresses
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
, and validate computational findings Apply machine learning and statistical modeling techniques to identify patterns and predict functional impacts of RNA modifications Contribute to publications
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., experience sampling, virtual/mixed/extended reality, machine learning, artificial intelligence) are desirable. The professorship, integrated into the Chair of Personality and Educational Psychology, is
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(specifically machine learning) in early drug discovery, precision medicine and clinical trials. The team is internationally well connected and is working closely together with leading European and US
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, and apply modern machine learning approaches yielding hybrid and reduced order models to enable real-time applications. In collaborating with industrial partners you will integrate real-world data and
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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architecture exploration, hardware/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing, artificial intelligence and machine learning. Tasks: research
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The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence | Hamburg, Hamburg | Germany | about 2 months ago
in a relevant field. You are experienced in the theory of light-matter interactions. In addition, you have expertise in machine learning, or in electronic-structure theory, or in molecular-dynamics