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Field
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. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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and computational modeling to understand complex biological processes. Experience in statistical modeling, machine learning, or analysis of spatial or high-dimensional biological data is considered
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these complex nutritional relationships between prey and predator at a fine scale detailed proximate composition (PC) analysis is needed. This project will investigate how PC analysis can be miniaturised
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and European companies and international academic partners. The AI4OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as
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researcher for a new collaborative project identifying the strategies used by cells to move in complex environments and coordinate this movement. This is a parttime, 20 hour per week assignment. Essential Job
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PhD Non-Destructive Testing (NDT) using Nonlinear Vibration Analysis for Metallic 3D Printed Parts (V25.0076) « Back to the overview Job description Additive Manufacturing (AM) or 3D Printing (3DP
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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control theory at the University of Groningen. The increasing complexity and ever-tighter performance requirements on systems such as occurring in high-tech manufacturing, autonomous vehicles, and smart
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mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS