82 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "https:" positions at DAAD in Germany
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and presentations at scientific conferences contribute to the development of the new Master's program, "Resource-Efficient Manufacturing and Materials – REMM." Requirements: very good to good university
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Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the
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fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent Network on international and national basis offers a perfect start for a
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an interdisciplinary team of biologists and clinicians Well-equipped laboratory with personal mentoring Integration into a structured PhD program at Münster University and the PodoSigN research training group This is a
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phases Your profile Excellent Master’s or Diploma degree in medical physics, physics, computer science, medical engineering or a closely related field with a strong interest in data science and
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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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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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? Master's programme at a German university. Duration of the funding The scholarships for Master's studies have a maximum duration of twenty-four (24) months. Value According to the cooperation agreement
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available in the further tabs (e.g. “Application requirements”). Programme Description SECAI scholarships were created to support outstanding students who intend to study AI or a related field at TU Dresden