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of Giessen/Hohenheim, students process their fieldwork data and present it to peers in a doctoral seminar. This is followed by the application of the chosen analytical tools to provide answers
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Your Job: develop numerical and analytical techniques to simulate and control the time dynamics of quantum technology devices implement and optimize gate operations and artificial Hamiltonians
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, analytical chemistry, plant physiology, genetics, ecology, evolutionary biology, bioinformatics, and mathematics and computer science. All our projects are highly integrative and require willingness to closely
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check our website for more information: https://www.uni-goettingen.de/de/635183.html PhD students with their own funding (e.g. DAAD) can join at any time. Tuition fees per semester in EUR None Combined
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, such as participant recruitment or data collection, is not required but would be an advantage. All applicants must have strong analytical skills and a proven interest in interdisciplinary and teamwork
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technology and economics Experience in energy system modeling is beneficial First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent
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completed scientific university education (Master's/Diploma) in food chemistry, chemistry or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS
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analytical instrumentation Ample biological profiling platforms (in vitro and in vivo) A lively scientific community 30 days vacation, (24.12. & 31.12. are considered as completely free days) An annual
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/Diploma) in food chemistry, biochemistry, nutritional sciences or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS experience in
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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 PhD Position (m/f/d) on the following topic: Precursor chemistry