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of stem cell biology, developmental neuroscience, and computational analysis, with a particular focus on the human subplate and its interaction with early thalamic input. You will contribute
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(fiber photometry), opto- and chemogenetics, engram visualization and manipulation strategies and mouse behavior. We are also open to your vision for this project. This project is directly relevant to
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sensitive to researchers’ needs and constraints? You will be part of a project that addresses these questions by combining policy analysis, behavioral research, and stakeholder co-creation. You will map
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semantic integration, combining a high-powered preregistered fMRI replication study, functional connectivity analyses, and a preregistered meta-analysis of the neuroimaging literature. The intended starting
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record
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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
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at the University of Amsterdam and will lead the development of advanced computational data analysis methodologies. Your primary goal is to connect different levels of the degradation pathway to the parent molecule
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postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed to complex and
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matter, or polymer physics Enjoy quantitative analysis and physical interpretation of experimental results You are fluent in English and able to collaborate intensively with internal and external parties
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that control synaptic transmission and plasticity at various levels and using a variety of techniques and analysis tools that we developed. Where to apply Website https://www.academictransfer.com/en/jobs/359921