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differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C++, and JavaScript
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keen interest in further developing this expertise very good written and spoken communication skills in both German and English proficiency in programming (Python, VBA, or similar) and familiarity with
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be expected to collaborate with the other doctoral student of the HydroSIGNS project at the UFZ. A corresponding job advertisement will be available shortly at https://www.ufz.de/index.php?en=34276
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individually, e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FAIR REMUNERATION: Depending on your qualifications and assigned
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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to mlcv at tu-dresden.de or to: TU Dresden, Chair of Machine Learning
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, Andrea.Iris.Schaefer at kit.edu , https://www.iamt.kit.edu Applications Please send applications with CV, publication list and your contribution to the publication (if relevant), academic transcripts, degree
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at http://europass.cedefop.Europa.eu ); University degree certificates, whereby a bachelor’s degree must have been passed with at least second-class upper division (or equivalent) and a Licenciado degree
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Portal https://securemail.tu-dresden.de by sending it as a single pdf file to uwe.hampel at tu-dresden.de or to: TU Dresden, Chair of Imaging Techniques in Energy and Process Engineering, Prof. Dr
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of English language skills by January 8, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https
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service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to iak at mailbox.tu-dresden.de