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of machine learning tools in cognitive and neurosciences. This is a fixed-term, three-year position. The salary is in accordance with the German public service salary scale (65 % E13 TV-L). The Embodied
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, conservation genomics, museomics, metagenomics, annotation, machine learning, Instruct users in the usage of hardware and software for molecular biodiversity research, Acquire substantial third-party funding
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tasks Your job tasks includes the following responsibilities: Structural optimization and calculation of optical spectra of novel ternary metal nitrides using density functional theory and machine
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modeling (FEM), and thermodynamic/kinetic simulations using tools such as Thermo-Calc and CALPHAD first experience in applying artificial intelligence and machine learning techniques to Materials Science
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Good knowledge of Java, Python, HTML, ROS, or comparable Basic knowledge in the field of machine learning Good communication and willingness to work in an interdisciplinary manner What you can expect
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competencies in applying advanced methodological and statistical approaches and technologies (e.g., experience sampling, virtual/mixed/extended reality, machine learning, artificial intelligence) are desirable
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The research group "Interactive and Cognitive Systems" investigates artificial and
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by Prof. Marcel Oliver, is part of the Mathematical Institute for Machine Learning and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis
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to distinguish between different blood cells Data analysis and curation for the training of machine learning models What you bring to the table A Bachelor’s degree (B. Sc.) in biosciences (e. g., biochemistry
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The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence | Hamburg, Hamburg | Germany | 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