415 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions in Netherlands
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- Amsterdam UMC; today published
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- Delft University of Technology (TU Delft); 10 Oct ’25 published
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); 3 Oct ’25 published
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- Erasmus MC (University Medical Center Rotterdam); yesterday published
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- Leiden University Medical Center (LUMC); yesterday published
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- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW); today published
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- University Medical Centre Groningen (UMCG); today published
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Groningen; 26 Sep ’25 published
- University of Groningen; 3 Oct ’25 published
- University of Twente (UT); 16 Oct ’25 published
- University of Twente (UT); 26 Sep ’25 published
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these technologies can only read DNA fragments of limited length. We enable biological interpretation of these sequencing data sets by developing algorithms based on graph theory, discrete optimization and machine
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through genome sequencing, but these technologies can only read DNA fragments of limited length. We enable biological interpretation of these sequencing data sets by developing algorithms based on graph
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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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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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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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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
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Apply and develop advanced multimodal data tools and knowledge
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Apply and develop advanced multimodal data tools and knowledge graphs for heterogeneous pavement engineering knowledge aiming to speed up the learning cycle and support innovation and asset
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fundamental research on the evolution of massive binary stars, with a special focus on the systems that give rise to gravitational-wave sources. This theoretical project will be at the intersection of stellar