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Field
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worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees
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numerical simulations of complex dynamic systems, e.g. turbulence, hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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remote sensing approaches using ocean-color and thermal-infrared satellite observations to study marine organosulfur compounds and ocean–atmosphere interactions. Key research activities include algorithm
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600
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multiple countries. The position offers a highly collaborative and interdisciplinary research environment. The successful candidate will be expected to: develop computational algorithms for time-dependent
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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: Equivalence checking of quantum circuits. This task will include the identification of suitable metrics for approximate equivalence and algorithms to efficiently compute approximation distances. A potential