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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 13 hours ago
, endocrinology, or related research areas. Experience with one or more relevant approaches, such as transcriptomics, proteomics, metabolomics, single-cell analysis, network biology, comparative genomics, biomarker
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establish a sustainable line of cooperation between UHK and leading European groups and networks in cosmology and gravitational-wave physics. Depending on mutual scientific interests and appropriate
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, Territorial Planning and Management, Economic Geography, and related fields; experience in the construction, development, and interpretation of databases; use of statistical software; analysis of agent networks
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Job Description The postdoctoral researcher will conduct independent and collaborative research on projects involving brain network analysis, including investigations on the Drosophila connectome
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of fMRI data in task-based and resting- state tasks, including preprocessing, GLM modeling and BOLD contrast analysis, as well as functional and brain network analysis, • Experience in structural MRI data
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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democracies justify departures from market principles. Component 2 — Systematic Evidence Review on Market Competition: systematic literature review and meta-analysis of evidence on competitive dynamics in
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Are you passionate about keeping communications networks secure and trustworthy? Are you eager to explore attacks and countermeasures for QKD systems and to help ensure they can deliver the promised
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networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases
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knowledge recombination, conceptual distance, topic novelty, and uncertainty. The project will mostly rely on econometric analysis of large-scale microdata sets for researchers in Denmark, in particular, high