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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches
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Veteran Program and the Psychiatric Genomics Consortium, as well as other large biobanks such as the UK Biobank and AllOfUs. The ideal candidate should hold an MD or PhD, and have a strong background in
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personality: You hold a PhD in synthetic organic chemistry. Previous experience working with organic synthesis, total synthesis, electrosynthesis and catalysis is required. Proficiency in data analysis and
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of real-world evidence using large real-world data sources, including data from the ongoing prospective cohort study (DREAM cohort). The successful candidate will have expertise in epidemiologic research
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more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and
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depth in some of the following areas (not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs
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an unusual combination of challenges: data are sparse and unevenly distributed, observations are uncertain, and decisions about where to survey unfold sequentially under significant time and cost constraints
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a new research collaborator with a PhD in building technology, preferably in the field of building materials and/or building envelope performance and/or building renovation. The candidate must be
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time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). Experience in data reduction of big spectroscopy, mass spectrometry, and image
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collaborators. Required Qualifications • PhD in neuroscience, physics, computer science, applied mathematics, biomedical engineering, or a related quantitative field. PhD awarded no more than four years prior