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Field
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, optimization, or related fields. Proficiency in scientific programming (e.g., Python, Julia, or C++) and experience implementing optimization algorithms. Proven ability to work both independently and in
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N and C transfer using bacteria as partners in plant nutrient acquisition, and symbiosis under variable nutrient conditions. The project will integrate controlled plant–microbe experiments with
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) Experience in carrying out the work plan (40%); c) Interview (20%). Note: the interview will only take place for the two highest-ranked candidates if their ranking difference is less than 1 point in the sum
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Estimation & Observers: Design and implement state estimators, Extended Kalman Filters (EKF), neural observers, and physics-informed "virtual sensors" for real-time plasma state estimation and boundary
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Engineering, Applied Mathematics, or a related field. Candidates should have expertise in several of the following areas: Scientific software development (C++, Julia, Rust, Python, or similar) Numerical methods
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rapidly lead research efforts focused on quantifying larvicidal performance against C. macellaria as a proxy and C. hominivorax prior to final confirmation, reporting LC90, LC99, and time-to-kill metrics
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engineering Mathematics » Applied mathematics Physics » Computational physics Geosciences » Other Physics » Acoustics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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recruitment process, please contact HR-Coordinator Maria Løvgaard Bodin, Tel.: +45 8715 3445, Email:[email protected] Place of work Aarhus BSS Department of Management Universitetsbyen 61 8000 Aarhus C Denmark
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implementation tools used in autonomous robots and embedded systems (e.g., C, C++, Linux, MATLAB, Python, Robot Operating System, Gazebo Physics Engine Simulator) is required. In compliance with NYC’s Pay
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-seq Hi-C Micro-C RCMC Organoid culture systems Mouse models Flow cytometry DNA damage and repair assays Computational genomics and bioinformatics Programming and analytical tools such as: R Python