1,587 engineering-computation-"https:" "https:" "https:" "https:" positions at Nature Careers
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hypotheses. Develop, refine, and benchmark computational pipelines using statistical modeling, machine learning, and deep learning approaches. Conduct analytical validation studies including precision
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: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including
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-friendly working environment Sustainable travel to work: subsidized Germany job ticket Unleash your full potential: targeted training and mentoring through the DKFZ International PhD Program and DKFZ Career
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Developing advanced computational imaging algorithms Proof-of-principle experiments on complex nanomaterials and biological samples We are looking for candidates with a completed university degree in physics
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and engineering applications. The institute focuses on nanomaterials, nanodevices, nanochemistry, nanomedicine, and nanobiosafety. To advance scientific innovation and discipline development, we
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-keeping skills. Strong problem-solving ability and capacity to work independently as well as collaboratively. Desirable Attributes: Extensive experience in CRISPR-based genome engineering in mammalian cell
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to the cryo-EM technology to researchers at institutes across Arkansas and the surrounding states. Responsibilities Execute routine Cryo-EM calibration and maintenance. Perform routine maintenance of accessory
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independent research programme, while playing an active role in major Centre initiatives, Flagship Research Programmes, and collaborative studies within and beyond the HDS Centre. You will also be expected
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and technology. The foundation is particularly interested in U.S.-based projects consisting of diverse teams of scientists, practitioners, and key stakeholders (e.g., community members, landowners
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cloud computing environments Familiarity with genomic databases and resources such as UCSC Genome Browser, gnomAD, and NCBI. Solid foundation in applied biostatistics and statistical interpretation