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Field
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? No Offer Description The researcher will have to carry out theoretical and computational studies aimed at identifying how cells represent their environment in their molecular networks. The work will
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. The institutes have an excellent track record in methodological and applied research in biostatistics and outcomes research and are embedded in a multi-disciplinary national and international network
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an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 2 months ago
of Biological Networks at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg (Germany). Our group develops computational methods and tools for analyzing and redesigning
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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academic networks and further your career - Faculty of Science & Engineering at Macquarie University, Wallumattagal Campus, Dharug Land, North Ryde THE ROLE An exciting opportunity for a postdoctoral
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strategies within a basic research framework. The Institute of Molecular Medicine II is actively involved in several research networks dedicated to these topics and applies a translational approach across its
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competences: Practical experience in molecular cloning, expression, purification of protein complexes and their biochemical and biophysical characterization. Prior knowledge of crystallography and/or single
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diabetes. The successful applicant will use complex genome editing tools and cell-based model systems such as human stem cell-derived beta cells, using single cell genomic read-outs, and will explore poorly
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on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data