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at TU Delft. In this project we also work together with experimental groups at TU Delft and beyond. The Delft Bioinformatics Lab has strong algorithmic and machine learning expertise, with a profound
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theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts
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pathology applications, including the assessment of kidney biopsies. The innovative application of machine learning in clinical settings creates a vibrant and inspiring research environment. You will be part
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first line treatments for OSA, and works by delivering pressurized air to keep the airway open. Traditionally, titration of optimal PAP parameters was done in sleep labs, but home titration using auto
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computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome analysis on neuroimaging data\integrate connectome findings across multiple speices work on developing
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Chemistry, Polymer physics or a closely related discipline are encouraged to apply. Preferably, the candidate has been studying any of these topics: statistical physics, computer simulation methods, and
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the following PhD project within its MKT research programme at ERIM: · PhD in Consumer Behavior · PhD in Quantitative Marketing · PhD in Fair Machine Learning in Marketing Other fully
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considered an advantage. Technical Skills Proficiency in MATLAB, Python, and/or R. Experience with data science frameworks (e.g., AI, LLMs). Familiarity with machine learning (e.g., scikit-learn, MVPA, RSA
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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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applications and machine learning. Good analytical skills and a positive attitude towards interdisciplinary work. We offer you, following the Collective Labour Agreement for Dutch Universities: A salary of