2,048 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" PhD scholarships
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30 Sep 2025 Job Information Organisation/Company Uni Tuebingen Department Department of Computer Science Research Field All Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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and successful candidates will receive competitive payment based on the primary location of their research project. We seek to recruit multiple PhD students in 2026 to a range of inter‐institutional
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Multiple PhD Positions in Fundamental Physics and Quantum Dynamics (m/f/d) The International Max Planck Research Schools for Quantum Dynamics (IMPRS-QD) and for Precision Tests of Fundamental
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 23 hours ago
to develop Computer Vision algorithm and Interfaces for collaborations with Historians teams. Specifically, the research will focus on structured data with clear repeated patterns, such as characters in a text
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that may empower consumers to resist persuasion and reduce harmful consequences? Are you passionate about advertising, algorithms and social media? Then apply for this PhD project focused on demystifying
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advance scholarship on who is most often exposed to algorithmic persuasion, how different types of people cope and are affected, and how we can develop remedies to reduce negative consequences. By doing so
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efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair Tackle the challenge of computationally expensive meta-optimization procedures by
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Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By