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years of relevant experience in clinical research, public health research, behavioral science, or human laboratory settings. Familiarity with human subjects research procedures, REDCap, or structured data
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Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P) in Laayoune City, south of Morocco. It constitutes a structure of applied research with a vision of solving
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minimum of one year eligibility remaining. • Strong background in computational modeling, AI-assisted modeling, microbial testing, or paper chemistry and structural evaluation. • Experience with fiber-based
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structures chosen from understanding of initial series of compounds and their performance from MRC grant MR/T015845/1) in terms of measurements of efficacy using a validated in vivo model of respiratory
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-products. Current extracts from whole rice, rice bran, and rice hulls will be evaluated for biological activity, followed by purification and structural characterization of active components. This research
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-temperature applications Construction, optimisation and testing of plants in the technical centre and in the field Development of models for calculation and design Solution approaches for process integration and evaluation
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/ML model development to design and discover redox-active materials with tunable properties (structure, charge state, etc.) Discovery of novel materials for energy storage and conversion and their
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processing methods (such as solid-state chemical synthesis and wet chemical-based approaches) to fabricate all-solid-state sensor structures Set up experimental work to identify areas for sensor improvement
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data We are looking for a candidate with a structured working style and the ability to multitask with attention to detail. You must have a positive mindset and willingness to take on both routine and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
techniques, model validation and analysis, and database construction. PREFERRED: Experience with modeling of plasma dynamics (particularly turbulent transport and pedestal physics); experience with data-driven