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. Joerg Hoffmann at University of Saarland. 2) 1-2 PhD students working with Prof. Hendrik Blockeel and/or Prof. Jesse Davis on the topic of developing novel approaches for learning, compressing, and
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. Barbara De Coninck, e-mail: Barbara.deconinck@kuleuven.be , or Prof. Hans Jacquemyn, e-mail: hans.jacquemyn@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60620053?hl=en
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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Sciences at KU Leuven (e.g. thesis supervision, exam grading, etc.) in Dutch and/or English. You hold a Master’s degree in Law, with a specialization in ICT law. You are eager to learn and fascinated by
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affected by warping, addressing both audio analysis and synthesis tasks. The methodological scope spans stochastic signal processing and machine learning, including hybrid physics‑guided and data‑driven
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children learn new words not only by listening to a storyteller but also by processing multimodal signals such as iconic gestures and gaze direction. Using eye-tracking in both real-life and digital contexts
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research team. You are resilient under pressure and eager to learn. You have an excellent command of English, with a preference for candidates that also can speak and write in Dutch. Knowledge of additional
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manipulation of fear and reward learning. This position is part of a recently funded, large-scale and innovative research program, aimed at creating new treatments for negative symptoms, among the most
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such as surgery, patient or staff scheduling using, e.g., multi-objective optimization or machine learning approaches and analyzing efficiency-fairness trade offs. The research will be conducted under
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manipulation of fear and reward learning. This position is part of a recently funded, large-scale and innovative research program, aimed at creating new treatments for negative symptoms, among the most