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Field
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working hands-on with a wide range of individuals. Equally, they should be comfortable with statistical analysis of data. The research will focus on creating consumer-centred testing methods, exploring how
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, to achieve spatial understanding and cross-modal representation learning from heterogeneous sensor data, with the research not limited to these methods. This research will support semantic interpretation
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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, updated with anti-nutrient content (phytate, tannins, oxalate), to apply and further develop mathematical models to estimate the absorbable micronutrient content from meals and dietary patterns. You will
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of individual heterogeneity, estimation using machine learning methods and particular challenges present when studying infectious diseases. An overall goal of the project is to improve current practice in
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a recruitment position with a duration of 3 years. The project aims to further develop and optimize methods within assisted reproductive technologies (ART) in pigs, including Ovum Pick-Up (OPU), in
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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20 Feb 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electronic engineering Researcher Profile
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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» Autonomic computing Engineering » Maritime engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 18 Apr 2026 - 23:59