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proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well
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Postdoctoral Researcher (f_m_x) - Hydrology (advanced data analyses and innovative experimental w...
Helmholtz Association of German Research Centres | Potsdam, Ohio | United States | about 2 months ago, self-driven and committed, a team player and willing to handle responsibility Excellent quantitative skills (programming and advanced data analysis, experience with the analysis of large and complex
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fastest-growing chronic conditions to address. Yet large-scale, sustainable RPM remains limited, in large part because of the underlying health-IT infrastructure: centralised data integration approaches
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, and leading local as well as national research consortia, such as the Excellence cluster LeiCeM , the German Center for Child and Youth Health (DZKJ ), and our large children’s and adolescent’s cohort
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learning modelling expertise with experience in the analysis of challenging large-scale data sets. Experience with cellular imaging data or virology/immunology are a plus.Relevant skills include:•Experience
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experience in analysing whole genome and methylome sequencing data. Experience in machine learning or AI models. Proficient in Python or R programming. Experience in high-throughput compute cluster and Unix
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25 Jul 2026 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 23 Aug
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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, dimensionality reduction, clustering, differential expression, and batch effect correction. VCF management, genotype processing, and whole-genome sequencing data handling. Experience with QTL mapping (eQTL, sQTL