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and implement computational techniques in processing neuroimaging including CT and MRI modalities. Demonstrated ability in big data analytics and machine learning techniques. Expert ability in
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infrastructure. These efforts will directly enable innovative data analytical approaches, including federated and deep learning, with a focus on real-world data for rare cancers. This research will directly
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to software engineering, robotics, and artificial intelligence. The Software Engineering section encompasses a range of research areas in software development, data analytics, and intelligent systems, and it
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communities, such as the human gut microbiome. This role will use a combination of microbiological, genetic and analytical techniques to isolate and engineer bacteria for use as next-generation probiotics
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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) data analysis, or (c) design and implementation of novel field and lab experimental methods. Qualifications Basic qualifications PhD in soil science, ecology, earth and environmental sciences, and
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Job Description This position requires expertise in laboratory research, bioactive compound analysis using advanced analytical instruments, and biotic and abiotic stress in agriculture. The role
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, and translational research. Proven analytical skills and experience in experimental research. Experience in software development (e.g., treatment planning tools, imaging algorithms, AI-based
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a curious and motivated post-doctoral researcher to join our research lab at the Rowland Institute at Harvard. Our research pursuits are primarily in the analytical/physical chemistry field and
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postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is