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systems that fuse multi-modal remote sensing, soil and phenology data to enable crop classification and precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded
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. Supervise students in experimental atomic physics, including data analysis and real-time measurement techniques. Teaching Responsibilities: Introduction to Nuclear Physics: Basic principles of nuclear
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experience of data collection, audit preparation, budgeting, financial reporting, report writing, business planning, maintaining risk registers, etc. Capable of exercising judgement and making decisions on a
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. Proficiency in relevant software tools for research, data analysis, and teaching (e.g., MATLAB, Python…). Strong problem-solving and critical-thinking skills. Ability to work in a multidisciplinary team and
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), and assembly of drone airframes. Testing: Wind tunnel, fatigue, and flight tests for mechanical and aerodynamic validation. Data Processing: Documentation, data analysis, and contribution to reports
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real-world cases. Co-develop teaching modules and interactive simulations that explore decision-making, value trade-offs, and policy implications in complex environments. Support data-driven inquiry
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data for model calibration and validation. Apply sensitivity analysis and optimization algorithms to refine model parameters and improve predictive accuracy. Contribute to code development, documentation
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collective behavior in real-world cases. Co-develop teaching modules and interactive simulations that explore decision-making, value trade-offs, and policy implications in complex environments. Support data
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students or supervising research projects. Expertise in laboratory management, experimental design, and analysis in biotechnology contexts. Proficiency in relevant software tools for research, data analysis
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under various mechanical stress conditions and contaminant types. Data Analysis and Reporting: Analyze experimental results comprehensively, prepare scientific reports, and publish findings in reputable