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protein science. We address unsolved questions in cell signalling. The group aims to characterize how signalling networks regulate cellular responses differentially when mediated by phosphorylation and
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models for autonomous navigation, where learned models account for the robot's dynamics and the physical properties of the terrain - Multi-robot collaboration over mesh networks, with shared mapping and
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of tropical forages. Mandatory requirements: PhD in Genetics and Molecular Biology, Biotechnology, Plant Biology, Bioinformatics or related areas; advanced knowledge in plant genetics, genomics and
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, Artificial Neural Networks, and neural decoding, including cross-condition generalisation and coding similarity analyses of MEG activity patterns. The project is closely articulated with a PhD project in the
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qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes that focus
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Role Postdoctoral Research Assistant: James Murray and the Correspondence Networks of the Oxford English Dictionary, 1879–1915 Location English Faculty, The Stephen A Schwarzman Centre for the
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 12 hours ago
Information Theory and Network Analysis Mathematical Biology Mathematical Machine Learning / Theory of Deep Learning Mathematical and Theoretical Physics Stochastic Topology Your qualifications Doctoral degree
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and advanced bioimaging. Research-based supervision of Bachelor, Master and PhD students in a vibrant group. Your profile We are looking for a highly skilled and motivated person who are ready to take a
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single-cell Genomics AnCestrY and ageing (LEGACY) Network in Lymph Node Research UK. These projects involve profiling the intra-lymph node dynamics of vaccine responses in younger and older individuals