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, Skills & Abilities: Principles of bulk RNA-seq and, ideally, single-cell and/or single-nucleus RNA-seq RNA extraction, library preparation, sequencing strategies, and common sources of technical variation
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. To apply: https://academicjobsonline.org/ajo/jobs/32467 Files to submit: Applicant’s CV Applicant’s transcript showing proof of PhD; or intended completion date, which must be confirmed in a separately
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from a fully equipped computing work environment and access to university libraries. Travels may be requested. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8053-SAMBAT-004/Default.aspx
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in modern biological sciences to prepare them for a multitude of careers that depend on a solid understanding of biology. To learn more, please visit us at https://www.bio.tamu.edu/ . We are a
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, circulation and promotion of heritage within an inter-institutional framework bringing together libraries, museums, archives, research laboratories and civil society organisations. The result of close
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commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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disease (IBD), and/or experimental autoimmune encephalomyelitis (EAE). Using unbiased genome-wide CRISPR/Cas9 guide RNA library screens and whole kinome analyses, we have identified promising novel
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Molecular Biology seeks a Postdoctoral Associate to join the research group of Professor Fenghua Hu. Details of Dr. Hu’s laboratory, ongoing research projects, and recent publications can be found at https
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in Python and working with machine-learning frameworks and libraries, e.g., PyTorch, TensorFlow, Hugging Face Strong conceptual understanding of clinical and biomedical research, data standards, and