856 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"MPG" positions at Nature Careers
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., equipment or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software
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motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the
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have full access to all research and clinical facilities at Cancer Institute. These include access to well-annotated clinical data and bio-specimens (>1,70,000 patients treated per year), GMP facility
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Job Description The Bioinformatics Research Scientist is responsible for designing, developing, improving, modifying, and operating data analysis pipelines. Manages projects and coordinates other
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(general internal medicine, family medicine, or geriatrics), and post-doctoral training is preferred. For more information about the position, including required qualifications and application materials, go
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intelligence, cybersecurity and cryptography, data science and big data analytics, transportation and environmental engineering, intelligent energy technologies, multidomain autonomy and communications, and the
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position is full. V. Contact Information (I)Official Website：https://www.sio.org.cn/english (II) Postdoctoral policy consultation: Contact person: Ms. Ni Consultation email: sio_postdoc@sio.org.cn (III
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this mission, HT provides access to state-of-the-art research infrastructure in five key areas through the National Facilities for Structural Biology, Light Imaging, Genomics, Genome Engineering, and Data
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design (up to 5 pages) Teaching statement that summarizes the applicant’s experience in and approach to training and mentoring and teaching philosophy (up to 1 page) The names and contact information for 5
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely