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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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can use relevant numerical and programming tools to develop, analyse and validate models and control schemes, and you are comfortable working with measurement data for model refinement and performance
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: Comparative genomics RNA secondary structure prediction Covariance models and RNA homology search methods Machine learning or artificial intelligence applied to biological data Transcriptomics analysis methods
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malignancy. The project integrates mouse and iPSC models, CRISPR genome editing, molecular biology, flow cytometry, and single-cell multi-omics to dissect disease mechanisms. We are committed to mentoring
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sponsorship. Responsibilities: Performing high level experimental, theoretical, and numerical research and data analysis (45%) Presentation publication, and proposal preparation (30%) Mentoring PhD and MSME
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 2 months ago
Qualifications and Skills Experiences in numerical modeling, advanced data analysis, and physical oceanography; Experience working with Earth System Models or ocean circulation models. Further Information Contact
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sponsorship. Responsibilities: Performing high level experimental, theoretical, and numerical research and data analysis (50%) Presentation publication, and proposal preparation (25%) Mentoring PhD and MSME
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to develop, implement, and apply novel computational techniques to problems of scientific importance, in collaboration with application scientists and engineers. Topics of interest include data-driven modeling
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. The successful candidate will contribute to cutting-edge research in the modeling, design, fabrication, characterization, and system integration of MEMS quartz resonators for next-generation precision micro
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 1 hour ago
numerical reservoir models for unconventional enhanced oil recovery processes in shale and tight formations. Calibrate and history-match models against laboratory experiments (e.g., core-flood) and field data