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if the candidate has gained solid experience in relevant omics analyses (esp. Single-cell methodologies and/or multi-omics). Experience in live cell image analysis, and/or metabolic analyses is a plus, as we also
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methodologies to support interdisciplinary cancer research programs, including magnetic resonance imaging (MRI), optical imaging, micro-computed tomography (micro-CT), photoacoustic imaging, and image analysis
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. Collect and process environmental and insect samples for DNA sequencing. Analyse microbial communities associated with freshwater habi-tats and pollinators. Direct and support to the analysis of high
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mechanistic microbiology. We have a strong preference for microbiologists with experience in microbial cultivation and working knowledge in computational analysis of omics data or, equally, computational
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 minutes ago
that can be proposed should have an emphasis on field and/or laboratory science, but supportive modeling and data analysis can also be included. The project should clearly enunciate a well-defined set of one
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knowledge gaps relevant to the Quality Use of Medicines, and use findings to inform study design, analysis and interpretation. Undertake data collection, data management and data analysis, including
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analysis, scientific writing, presentation of research findings, manuscript preparation, and career development. Basic Qualifications EDUCATION Required PhD, MD, or equivalent doctoral degree in neuroscience
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models, convective theories and the analysis of observations - Good knowledge of the state of the art in cloud feedbacks and cloud-climate interactions - Skills in the writing of scientific articles and in
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the experimental and bioinformatics analysis components—is essential. Proficiency in classical genomics techniques (RNA-seq, ChIP-seq, etc.) Proficiency in mouse ES cell culture and in vitro differentiation
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status of tomatoes for human health. You will generate dedicated (single-cell) transcriptional data sets feeding into the MNase-defined cistrome occupancy (MOA-seq) analysis of transcription factor binding