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: Bioinformatics Artificial Intelligence for Drug Discovery Big Data Analysis Established in 2002, ICMS is an academic centre of excellence in Chinese medicine as well as biomedical and pharmaceutical sciences in
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We are seeking to appoint a Postdoctoral Research Scientist in Statistics to join Professor Xin Lu’s group, with an affiliation with OPIG. The Lu Group (https://www.ludwig.ox.ac.uk/research/xin-lu
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, untargeted metabolomics, quantitative proteomics. Computational and AI approaches: microprotein bioinformatics, multi‑omic integration, protein language models, generative sequence design, and model
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research profile to further integrating wet-lab techniques (such as single-cell sequencing, -omics) with advanced data analysis, for example through bioinformatics, machine learning, or AI. Themes such as
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Therapy Postdoc Appointment Term: 1-year term with possible extension Appointment Start Date: As soon as possible (ASAP) Group or Departmental Website: https://med.stanford.edu/ross-lab (link is external
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microbiology. They learn contemporary microbiological, molecular genetic, bioinformatic, biochemical, analytical, and biophysical methods for studying microorganisms. Key research areas include physiological
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Preferred Qualifications PhD in Bioinformatics or a closely related field About UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through
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modalities. Therefore, the ideal candidate will be expected to conduct homologous overexpression, gene silencing, sequence analysis and contained phenotyping. Education A PhD in Molecular Biology, Genetics
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Education PhD in Computer Science, Bioinformatics, Biology or similar topic, with strong background on computational biology. Essential Knowledge and Professional Experience Proved experience
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Criteria^ 1. PhD (or equivalent) in statistics, computational biology, bioinformatics, computer science, quantum computing, or a closely related discipline.2. Demonstrated research capability in methods