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, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical research environment What We Offer
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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good research practices. Job Requirements: PhD in microbiology, molecular microbiology, biotechnology, molecular biology, environmental engineering, bioengineering, or a related field. Strong hands
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Comparative Social Policy (International) (IMCSP), and an MSocSc Programme in Sociology and Data Analytics (MSoDA), and has been successful in attracting MPhil and PhD students from around the world, as
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checks across records. Develop a cloud-based verification platform for digital data collection and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 2 hours ago
epithelial cell or tissue culture, permeability and transport testing, aerosol- or cloud-based exposure, assessment of epithelial barrier integrity and assay performance, regional deposition testing, mucus
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conferences. Basic Qualifications This position is on-site and located in Indianapolis, Indiana. The fellow will be expected to be on campus at least three days/week. Required Qualifications Completion of a PhD
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. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be advantageous. You will be a highly
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Requirements: PhD in Chemistry, Organic Chemistry, Chemical Biology, Biochemistry or a related discipline. Hands-on experience in carbohydrate chemistry, sugar modification, and the synthesis of glycosides
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on meaningful research and contribute to making mineral processing more sustainable and efficient. Work with leading researchers and PhD students and learn from their expertise and be part of a collaborative