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brain MRI analysis, statistical analyses, as well as data acquisition and machine learning. Experience with stroke and federated learning is a plus. Job ID REQ20177725Posted Date 08/05/2026 Current
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, utilization of software tools, and integrated data analysis. Receptor Biochemistry: Sound knowledge of the function and regulation of taste GPCRs and their involvement in metabolic networks. Publication Track
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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3 Sep 2026 Job Information Organisation/Company Lodz University of Technology Department Division of Dynamics Research Field Physics » Other Mathematics » Other Researcher Profile Recognised
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evolutionary genomics and population genetics, with demonstrated experience applying evolutionary-genomic methods to whole-genome data. Extensive hands-on experience with bioinformatic analysis of whole-genome
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in cortical circuits mediating defensive responding. Responsibilities will include rodent colony management, stereotaxic surgery, behavior testing, fiber photometry protocols and data analysis, brain
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collaboratively, including interaction with diverse stakeholders; excellent oral and written communication; good command of English. Desirable requirements: Experience in LiDAR data processing and analysis
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fluency in Cantonese), and demonstrate strong skills in statistical analysis, data management, and project coordination. Applicants should also exhibit the ability to work independently and collaboratively
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record (EHR) data from the Department of Veterans Affairs (VA), the largest integrated healthcare system in the United States. Through the VA Corporate Data Warehouse, we have curated the VACS-National
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 6 days ago
of memory and cognitive impairment in early-stage neurodegenerative disease, particularly through naturalistic, translational research approaches Experience with (f)MRI data analysis; prior