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The Department of Finance at the University of Luxembourg invites students to apply for Doctoral researcher positions in Finance. The program follows the standard international format with rigorous
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research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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letter - addressing the following questions: (1) How does your background relate to the position? (2) How do you plan to contribute to the research project? (3) How does the position relate to your
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Applications should include: A copy of the academic degrees awarded and, where candidates are currently enrolled to an academic programme leading to a Master’s degree, the expected date
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of the BIVEC (the BeNeLux association for transport research) and as such it has free access to post-graduate courses also in other institutions in Belgium and the Netherlands. The training program
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restriction, fasting and fasting mimicking diets to implement in a clinical setting Plan and conduct experiments in the context of clinical research such as gathering and processing of patient derived material
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submission of an application for funding of the PhD fellowship under the Industrial Fellowship program of the Luxembourg National Research Fund. The research project has both aspects of fundamental and applied
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. Limited teaching duties in our BA and MA programmes are expected. There will be the opportunity to actively participate in wider academic life through participation in academic events. The holder