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. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential
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to the financial modelling of zero-emission vehicles, fleets, and associated infrastructure, including data analysis, impact assessment, and tool development. It will also involve interpreting and reporting total
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 2 hours ago
and become efficient in using various computing languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis
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statutory provisions. General information UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply
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the persuasive capabilities of AI systems and the risks they pose to the information ecosystem. Core responsibilities include: Advancing research on the risks of AI-driven persuasion within the information
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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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. Applicants are invited to contact Ir Prof. K. C. Chan at telephone number 2766 4981 or via email at kc.chan@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration
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Department: Global Affairs Canada - Centre of China Policy Research and Coherence - OPR Location: Ottawa, Ontario Value: $98,299 to $128,799 For further information on the organization, please visit
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment