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chemical and/or biological laboratories Ability to work independently as well as collaboratively in an interdisciplinary and international research environment Based on the complexity of the project
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laboratories Based on the complexity of the project, motivation to learn new skills to expand scientific knowledge High degree of analytical working style Excellent communication skills and ability to work in an
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mineral surfaces Parameterize, set up, and validate molecular-scale models of complex soil-relevant systems Quantify structural, dynamical, and energetic properties governing water retention and soil
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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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Jyvaskyla University of Manchester Kone Oyi The candidates will have the opportunity to visit various partners in the network, supported by a mobility allowance. At the Chair of Machine Learning for Complex
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to work in. Research groups: Computational Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research
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or complex interconnected networks. Importantly, both sensor and helper partners are required for resistance upon pathogen infection. In the ERC-funded project “CooPAIRation”, we aim to harness the genetic
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. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and temporal scales from seconds to hours and beyond. The aim of this PhD project is to
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in their tissue context Development, optimization, and application of bioinformatic pipelines for data integration, analysis, and visualization of complex datasets Computational modeling of gene