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within the prestigious Duke University, our research lab is at the forefront of innovation in synthetic organic and medicinal chemistry and chemical biology, with a focus on natural product synthesis and
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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. Preferred Qualifications: Background in live imaging and image analysis in tissue or stem cell cultures. This position is onsite. The work is performed on-site or at a designated assignment location. Be Bold
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decoding in real-world and virtual reality environments. Key Responsibilities: · Design and implement experiments studying memory and navigation, integrating intracranial recordings, wearable sensor data
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging
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centralized proteomics data portal; design and perform computational analyses on the mass spectrometry data generated in on-going and planned proteomic experiments in the lab; maintain subspecialty expertise
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experience include: • Experience with epidemiologic study design and implementation, particularly involving cohort studies or large-scale datasets, is highly desirable. • Experience in managing human subjects
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, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation
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culture that values excellence, innovation, and discovery. Duke University is consistently ranked among the top universities worldwide and is renowned for its cutting-edge research across disciplines