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, programmers, and interdisciplinary collaborators. Minimum Requirements: Graduate degree (PhD or Master’s degree) in biostatistics, bioinformatics, computational biology or a related quantitative field OR
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/machine-learning-for-integrative-genomics/ The HUB : https://research.pasteur.fr/en/team/bioinformatics-and-biostatistics-hub/ Degree : PhD in computer science, computational biology, bioinformatics
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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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strategies to ameliorate dysbiosis and neuroinflammation and reduce chronic disease burden. Key Responsibilities Bioinformatics Nature of Work: 50% Successful individuals will participate in the development
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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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tasks of the successful candidate will be: To be able to use appropriate bioinformatic tools for soil metagenomic analysis To help on the determination of the background levels of microbial pesticides in
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in (1) computational biology, bioinformatics or biostatistics with experience in the field of immunology, or (2) a PhD in immunology with demonstratable experience and advanced knowledge
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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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, Biodiversity or related topics and fulfil the requirements to be admitted into the Ecology, Environmental Science and Plant Physiology PhD program at the Universitat de Barcelona. https://web.ub.edu/en/web
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. Science Advances (2024). https://doi.org/10.1126/sciadv.adk1250 Your qualifications: Required qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant