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                Helmons (dredging, marine minerals) and dr. Austin Kana (design methodology, complex systems), where you will work on the development of an assessment framework to identify Best Available Technology (BAT 
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                Position Overview We are seeking a highly motivated Postdoctoral Researcher to join the Computational Turbulence Laboratory (CTLab) in the Department of Aerospace Engineering at the University of Kansas 
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                ). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines 
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                Department Contact Email hli-byarlay@centralstate.edu Job Summary/Basic Function Agriculture Research Development Program (ARDP) in the College of Engineering, Science, Technology and Agriculture (CESTA 
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                ) with hardware in the loop functionalities to test and validate AI-based solutions in complex operation environments Working with rapid prototyping tools (dSPACE) to recreate charging profiles and 
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                10 Oct 2025 Job Information Organisation/Company CNRS Department Computer Science Research Field Computer science Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions 
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                framework for quantum mechanics. The researcher is expected to make contributions in the fields of functional analysis, complex analysis, spectral theory, and partial-differential equations, but also 
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                applying advanced computational and experimental approaches to address complex environmental and infrastructure challenges. The postdoc’s work directly supports high-impact research outcomes, student 
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                ), such as pharmaceutical antibiotics (e.g., sulfonamides, tetracyclines), nitrates, and metal oxides, among others, in complex water matrices. This is a highly multidisciplinary project covering topics 
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                the full project team. This programme of research will be conducted in collaboration with partners from the Australian National University and Natural England and has been funded by the UKRI through the ESRC