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Field
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engineering, interdisciplinary energy studies, or a related field at the time of application. Additional qualifications (required at time of start) PhD in engineering, interdisciplinary energy studies, or a
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-the-loop exploration of extreme-scale scientific data. This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing
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) techniques, especially to environmental data. Proficiency in remote sensing and geospatial data analysis. Expertise in computer vision and image analysis, particularly for drone or satellite imagery
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platform-specific physics knowledge, be it in ultracold neutral atoms, trapped ions or superconducting qubits. This may also involve investigation of the decoherence processes and related question
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%); • Assist in the development of proposals for external funding for research projects. (5%) Requirements Required qualifications: - A PhD degree in synthetic or molecular biology, microbiology, biotechnology
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qualifications: A PhD degree in synthetic or molecular biology, microbiology, biotechnology or related fields. Demonstrated research experience in molecular biology, microbial genetics, genetic engineering, or
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) conferred by start date Demonstrated experience with imaging and/or video datasets Training and experience in machine learning, computer vision, and deep learning methods Excellent English language
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using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
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soft materials for microscopy imaging, and operating transmission electron microscope and atomic force microscope. This position will be expected to conduct data analysis, prepare publications, and
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schedules of participant families Mentorship and Laboratory Responsibilities (10%) Undergraduate mentorship (data entry, coding projects, image processing) Collaborate with a diverse team of researchers