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, environmental, and social science knowledge into a new framework for zero-emission inland shipping. This position requires outstanding skills in modelling and working with big datasets. In addition
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environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its
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2026 with appointment for three years. While bacteria are typically surrounded by a rigid peptidoglycan cell wall, under conditions of environmental stress many bacterial species undergo a remarkable
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computational models, systems, and AI/ML tools using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. In
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PET resins and develop simple models through conventional statistical analysis methods to be able to screen PCR PET resin material to enable its use in industrial packaging applications. In
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Computer Engineering (Dr. Javad Khazaei and Dr. Shalinee Kishore ) and Civil and Environmental Engineering (Dr. Faegheh Moazeni ) departments at Lehigh University. This position focuses on the fundamental
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research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes a transdisciplinary, entrepreneurship spirit and collaboration
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and/or experience: Ph.D. in a field related to hydrogeology, hydrology, or environmental modeling Required skills, knowledge, and experience: Modeling of karst hydrosystems Field methods for studying
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chemistry Environmental science » Earth science Researcher Profile Recognised Researcher (R2) Application Deadline 24 Jul 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Full-time
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an