71 algorithm-development-"the"-"The-Netherlands-Cancer-Institute" PhD positions in Netherlands
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- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Groningen
- Delft University of Technology (TU Delft); yesterday published
- Leiden University
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; Leiden
- University of Amsterdam (UvA); Amsterdam
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Maastricht University (UM)
- Radboud University
- University of Twente (UT)
- University of Twente (UT); Enschede
- Eindhoven University of Technology (TU/e); 4 Oct ’25 published
- Eindhoven University of Technology (TU/e); today published
- Maastricht University (UM); 27 Sep ’25 published
- Radboud University Medical Center (Radboudumc); Nijmegen
- University of Groningen; Groningen
- University of Groningen; 26 Sep ’25 published
- University of Twente
- Utrecht University
- Utrecht University; Utrecht
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
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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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Are you passionate about developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative
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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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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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the entire system, where many interconnected modules affect each other. In this project, you will be designing algorithms to guarantee the reliable operation of semiconductor machines, together with a highly
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well as develop new algorithms for inverse scattering. These extensions will be employed in a reconstruction process on actual measured data from real-world metrology, in line with the long-term vision presented in
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Are you eager to advance lung cancer diagnostics by developing standardized biomarker assays using state-of-the-art mass spectrometry? Join us as a PhD candidate and contribute to clinically
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ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g., high performance