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cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School
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assessments • Data analysis, interpretation, and presentation • Preparation and review of safety narratives • Presentation to internal and external stakeholders • Professional communication including verbal and
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bioinformatics, computational biology, genomics, statistical genetics, or a related quantitative field, together with demonstrated expertise in large-scale genomic data analysis and significant experience in
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through collaborative participation, supporting team operations and contributing to internal service roles. These are research focused positions. Further information can be found by viewing UQ’s Criteria
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
Office of New Drugs (OND) are creating new and updating existing toxicity databases based on available nonclinical animal data (and available clinical data where applicable) that could be used in
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motivated Postdoctoral Fellow with strong expertise in RNA-seq and multi-omics data analysis. Candidates should be proficient in Python and/or R and have a solid background in Biology, Computational Biology
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, pharmacoepidemiology methods development). You will have learning opportunities that include: Understanding of pharmacovigilance data analysis workflows; Full-stack web-based application development; Integration
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spectrometry, hyperspectral and multispectral calibration, and field data acquisition to improve agricultural monitoring from field trials to national predictions of yield, disease, and quality traits. You will
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at the time of application. Applicants are invited to contact Prof. Liu Liang at telephone number 3400 3542 or via email at liang-eie.liu@polyu.edu.hk for further information. Conditions of Service A highly
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-qualification experience at the time of application. Applicants are invited to contact Prof. Chunjin Wang at telephone number 3400 3190 or via email at chunjin.wang@polyu.edu.hk for further information