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. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries into applications that enable the early detection of deviations from health
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NIMH-funded longitudinal functional MRI (fMRI) study of threat perception in children. Other current lab projects include analysis of extant fMRI datasets related to visual perception, as well as fMRI
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communications and 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
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
, survey research, and qualitative analysis. TICA's empirical work is primarily focused on the Middle East and North Africa. Your tasks Conduct quantitative research for the project, including survey design
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the state of São Paulo (Brazil), using Light Detection and Range-LiDAR profiling data covering the entire state. LiDAR technology will enable a detailed analysis of forest structure, while deep learning
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experience in developing non-target screening workflows and suspect analysis for complex mixtures; Proficiency in building and interpreting molecular networks using MS data; Strong knowledge of advanced
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Infrastructure? No Offer Description - work environment: This position is part of a nationally funded research project focused on the early detection of neurodegenerative diseases through the analysis of protein
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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advanced data analysis including statistical modelling, multi-omic integration and reproducible computational pipelines. The Senior Post-Doctoral Researcher will integrate microbiome outputs with clinical
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of probability of statistical machine learning. They will possess sufficient specialist knowledge in network analysis and uncertainty quantification in machine learning and have the ability to manage