63 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" PhD positions at DAAD in Germany
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. This joint research project is organized as an interdisciplinary graduate school, combining individual supervision with intensive collaboration across institutions. The structured qualification program
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support of data/metadata formats developed in the group Integration of the developed software into the computational environments and data handling routines Presentation of the scientific results
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(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://securemail.tu-dresden.de by sending it
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to apply for the vacant position. Applications from severely disabled persons will be given preference if they are equally qualified ( sbv.desy.de ). You can find further information here: https
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the usual documents by December 11, 2025(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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international facilities (such as synchrotron and neutron sources). Details of the research activities as well as publications and background information are available on the group website: https://www.soft
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available in the further tabs (e.g. “Application requirements”). Programme Description Higher education graduates of outstanding academic merit who plan to complete a doctoral programme or carry out
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available in the further tabs (e.g. “Application requirements”). Programme Description The Heinrich Böll Foundation is the Green political foundation. Every year, under the heading "promoting talent
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available in the further tabs (e.g. “Application requirements”). Programme Description International students from all subjects (except the medical disciplines) who have been admitted to a doctoral programme
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and