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Field
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: Support research activities Support research project management Produce research outputs including reports, publications, presentations, etc. Coordinate different stakeholders in research projects Support
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digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different conditions. To propose a methodology/framework in a
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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and sensor data analysis Experience in remote sensing with satellites Experience in analytics in biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS
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biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS, or equivalent tools for environmental data-analysis Familiarity with computational flow dynamics modelling
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statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM) o Social
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different scenarios, including emergency power supply, energy trading, grid balancing, islanded operations, and disaster recovery. In the initial phase, the supervisors, the candidate (based
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enable better planning and utilization of mobile energy storage across different scenarios, including emergency power supply, energy trading, grid balancing, islanded operations, and disaster recovery. In
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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skills in Python, MATLAB and/or C++ at a developer level. A strong publication record. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations