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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 15 hours ago
, Finance, and Management. You will develop strong analytical skills, publish in top journals, and join a global academic network. This fully-funded programme includes advanced courses, close faculty support
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starting in 2025 within the TUM School of Life Sciences. The group is committed to uncovering mechanisms by which crop plants can increase the uptake of micronutrients from the soil and transfer them
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and science has produced pioneering technologies, e.g. in the information and communications industry or the healthcare sector. Bonn is known internationally for the location of the United Nations
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, France. It is also part of a broader psychological research network focusing on eye tracking. Your tasks will include: Planning and conducting laboratory experiments Analyzing experimental data with a
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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scientific exchange at the national and international level Your Profile: You have successfully completed a master’s degree in natural or (industrial) engineering, computer science, or a related field You
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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Description As a humanistic, sustainable and action-oriented university, Leuphana University Lüneburg stands for innovation in education and science. Methodological diversity, interdisciplinary
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. The position is within the Math+ project "Information Flow & Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and