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PhD student (f/m/d) Stellen-ID: 2851 Facility: Department of Data-driven Analysis of Biological Networks Contact person: Prof. Dr. Michael Wibral [email protected] 0551 39-26661
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limited for 3 years. About us: We develop novel methodology for data analysis at the cutting edge of applications in (cell) biology. In doing so, we closely collaborate with lab scientists and benefit from
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application in one pdf file including the usual documents until 5/31/2024 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/74487 . For more information
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profile: M.Sc. degree (or equivalent), preferably in Physics, or in Neuroscience, Engineering, Data Science, Mathematics, Machine Learning Programming or analytical skills Proficiency in English; German
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, nanofabrication or spectroscopy or ideally near-field microscopy. Further information: The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities
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membranes, all the way to cells. Naturally, this research is performed in a highly interdisciplinary manner and involves physics, physical and bio-chemistry, cell biology, and mathematical data analysis
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, with above-average grades and ideally have very good knowledge in condensed matter physics, nanofabrication and quantum transport. Further information: The University of Göttingen is an equal
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/Index/74449 . For more information get in touch with Heike Lott directly via E-Mail: [email protected], Tel. +49 551 3925742 . Please note: With submission of your application, you accept
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of the application constitutes consent to the processing of your applicant data by us under data protection law. You can find more information on the legal basis and use of data in the information sheet on the General