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Communication and interpersonal skills, Strong programming skills, R, Python, Knowledge of statistical analysis and data visualisation techniques, Working with longitudinal time course data sets, Multi-omics data
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in patients with Alzheimer’s disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel
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Sequencing data analysis will be desirable but not required. Individuals will benefit from trainings in orthotopic lung cancer and/or pancreatic cancer metastasis models, metabolomics/lipidomics, metabolic
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measurement techniques Experience with electromagnetic simulation tools such as Sonnet, Ansys HFSS, Lumerical, or similar platforms Experience with data acquisition, instrument control, and data analysis in
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, microstructure, and properties. Data analysis and preparation of scientific papers, reports, and conference contributions. Mandatory requirements: PhD in Materials Engineering, Metallurgical Engineering, or
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preparation of research grant applications, and contribute to the design and delivery of research projects. Duties include questionnaire design, data collection and analysis, conducting research interviews
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, Genetics, Chromatin biology, epigenetics, Genomics techniques and analysis i.e RNA-seq, ChIP-seq, CUT&Tag, Hi-C, R, Python Additional Information Selection process https://www.ucd.ie/workatucd/jobs/ Website
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
Single-cell multi-omics and epigenetic profiling Genome-wide approaches and genomic data analysis Mechanistic validation of candidate pathways that shape regenerative responses and injury memory
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. The candidate must have extensive experience in synthesizing, evaluating the performance of, and characterizing catalytic materials, including textural analysis, spectroscopic studies, and electron microscopy
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biogeochemistry. Experience applying machine-learning or AI methods to environmental data analysis, model calibration, or model-data integration. Experience synthesizing multi-source, multi-scale observational