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concretely your work package contains: We invite applications for a fully-funded postdoctoral researcher within the newly-awarded imec.icon project “Learning by Explaining Multimodal Medical AI (LEMMA)”. Why
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Type of Position Temporary Position Time Status Full-Time Required Education PhD or Professional degree Required Related Experience molecular, cellular, and in vivo breast cancer research Required
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Essential Qualifications Applicants require a PhD in a Biochemistry-related field Preferred Qualifications: Experience with animal behavioral studies, advanced statistics, and experimenta design
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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, supervisor, and scientific community, promoting the lab's reputation, write reports for sponsors, research grants, and submit publications to journals Teach, supervise, and mentor undergraduate, PhD, and
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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multivariate data analysis. Preferred Qualifications: PhD in Chemistry, Materials Science or Chemical Engineering. Candidates are expected to have a strong background in quantitative structure analysis based
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performs MRI research and development of advanced multiparametric methods for the evaluation of primary and metastatic brain tumors. Recent work incorporates machine learning methods to advance
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) Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data, leveraging on data analytics and machine
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach