746 parallel-computing-numerical-methods-"Simons-Foundation" PhD positions in Germany
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that demand interdisciplinary solutions? Then the Program for Collaborative Doctoral Projects is the perfect opportunity for you. Many of today’s most pressing problems can only be tackled through
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- 10:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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, political violence, and transnational threats to peace and conflict. Strong method skills, including in comparative research or statistical methods. Willingness to work in an interdisciplinary and
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly founded by
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, logical methods, programming languages, computer architecture, and security, to name but a few of the more prominent areas. The graduate school is home to more than 540 doctoral candidates in all fields
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The position is funded for 3 years (65% TV-L E13), starting on January 1st, 2026, within the framework of the TTU HIV program of the German Center for Infection Research (DZIF). Project Description: Although
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The position comes with access to high performance computing resources and access to training
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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delivered in English. The thesis has to be written in English or German, and the colloquium has to be held in English or German as well. Full-time / part-time full-time Programme duration 7 semesters