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knowledge of phylogenetic and statistical methods used in analysis of molecular data; documented proficiency in bioinformatics tools for the analysis of data generated using next-generation sequencing (NGS
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. Description: This project will focus on the analysis of Gravity Recovery and Interior Laboratory (GRAIL) and Lunar Reconnaissance Orbiter (LRO) data to improve our understanding of the Moon's interior structure
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project TARGETWISE. The candidate will be responsible for conducting machine learning omics data analysis within the computational team. The details on responsibilities, obligations and rights
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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; • analyse the consequences of candidate gene perturbations using zebrafish genetics, live imaging and quantitative image analysis; • integrate molecular, transcriptomic and imaging data and contribute
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, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply
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-tracking data. A major part of the work will focus on the preprocessing and analysis of multimodal time-series data. The research will specifically contribute to testing the Three-Component Model (TCM
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California State University, San Bernardino | San Bernardino, California | United States | 7 days ago
QUALIFICATIONS Degree in hand by time of appointment. PhD in Criminology, Criminal Justice, Social Ecology, Geography, Data Science or closely related field with a focus on crime analysis/crime science
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307570/phd-candidate-in-advanced-immune-competent-liver-models Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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consulting, training, and outreach to campus stakeholders, and actively participates in cross-departmental teams and audit response efforts. Through continuous process improvement, data analysis, and proactive