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how control parameters (e.g. bucket speed, size, depth, and packing density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data
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modeling approaches to evaluate treatment effects, soil–crop interactions, and system-level responses. -Draft high-quality manuscripts for peer-reviewed journals, develop presentations for scientific
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for isolating milk proteins and characterizing their structure. We are particularly interested in exploring the functional properties of these proteins using mammalian cell line models. Position Overview The Food
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? No Offer Description The laboratory is interested in investigating the genetic and epigenetic basis of phenotypic plasticity in animals using insects as a model organism. To that end, we use a variety
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
; scientific method and experimental design/interpretation. Experience in biostatistical modelling, and RNA-sequencing data analysis is preferred. Create a Job Match for Similar Jobs About The University
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publications • Excellent communication (verbal and written) Preferred Qualifications: • Experience with neurodegenerative disease models is preferred but not required. Job description: We are seeking a highly
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regions. Change: Advancing hydraulic modelling and NBS for resilience. Impact: Protecting communities with smarter adaptive strategies. Job description Despite significant progress in flood risk management
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design