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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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the Electrochemistry Laboratory, we are looking for a PhD student. This project aims to understand the mechanisms of electrochemical oxidation processes for the removal of emerging contaminants in water and to develop
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working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab meetings, meetings with collaboration partner, national and international conferences Assisting in
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Degree PhD Course location Jena In cooperation with Excellence Cluster Balance of the Microverse Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute Max
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: Conduct laboratory processing of water extraction Assist in ongoing field sampling campaigns Conduct basic data analysis Experiments using biological markers and isotopic methods Collaborate with PhD
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immigration procedures and accommodation, guidance for family relocation and schooling, Polish language courses, administrative support in English. Candidate Evaluation Criteria Applicants should have: a PhD in
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/group/taking-responsibility/diversity-equity-inclusion For more information about career opportunities in Springer Nature please visit https://springernature.wd3.myworkdayjobs.com/SpringerNatureCareers/
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) Documentation for English language skills if English is not mother tongue. The PhD student is enrolled in the CBS PhD School. Further information about PhD scholarships and the PhD program can be found at https
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 8 hours ago
language, or similar) Application deadline 30 April (for a starting date in autumn) 31 October (for a starting date in spring) Submit application to https://www.imprs-pks.mpg.de/application/application
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. ESAT of KU Leuven (Belgium) in the frame of a project on 'natural' brain-computer interfaces (BCI) where we aim to identify the temporal encoding of realistic video footage in electroencephalography (EEG