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For further information, please contact Dr Franziska Glassmeier (available from June 1, 2025). Please do not forward your application to this email address. The application documents should include a cover
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data synthesis. Their work will determine how urban features drive species diversity, how species diversity and urban features are represented in soundscapes and how these relate to human health and
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another relevant natural or engineering science Good knowledge of uncertainty quantification (including Bayesian techniques), random sampling, data evaluation methodologies, and game theory Knowledge
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physics or related with a background in the field of experimental quantum information Willingness to work in laboratory and cleanroom environments Ideally, initial experience in a technical or scientific
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The assessment of the applicants will be made by Dr. Moran Balaish. Please send your application in English as one PDF file to moran.balaish@tum.de no later than 12 September 2023 CET. The file must include: • A
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22.03.2021, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine
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of data generated from confocal microscopy, histology, and osteochondral platforms Participate in meetings, and give expert feedback and mentoring to PhD students involved in the project Present your
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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22.11.2020, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine
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sequencing techniques Computational and statistical analyses of genomic data Willingness to engage in lab work, computational work, and fieldwork Genuine interest in pursuing an independent academic career