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Field
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Methods. Candidates should have an interest in applied mathematics, programming experience, and a passion for a practice-oriented project involving real data and applications. Specific tasks within
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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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information at: http://www.ifw-dresden.de The Institute for Materials Chemistry IMC (Director: Prof. Dr. Anjana Devi) at the IFW Dresden offers a Postdoctoral Associate (m/f/d) on the following topic: Precursor
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Expertise with scientific data analysis We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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of Chemistry is equipped with state-of-the-art analytical, experimental, and data processing methods and is integrated into a strongly interacting and collaborating scientific environment with the Departments
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fusion energy research Work in an excellently equipped research centre with cutting-edge laboratories and on-site computer clusters No teaching requirement, you can spend your working time for research
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should have demonstrated in-dependent experience in designing and carrying-out ethnographic fieldwork, and in qualitative data analysis. - Experience with participatory design or participatory
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04.04.2025, Wissenschaftliches Personal The Chair for Computer Architecture and Parallel Systems (CAPS) offers this position as part of the DARE-project funded by the EuroHPC JU bringing together
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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic