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or related fields; Experience in catalytic and/or biocatalytic reactions for biomass conversion; Knowledge of analytical techniques used for evaluating catalytic and biocatalytic activity; Strong problem
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conversion; Knowledge of analytical techniques used for evaluating catalytic and biocatalytic activity; Strong problem-solving and critical thinking skills; Ability to work independently and collaboratively as
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City University of Hong Kong, Decision Analytics and Operations Position ID: 3535-RAP [#27815] Position Title: Position Type: Non tenure-track faculty Position Location: Nam Shan Estate, Hong Kong
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RESEARCHER (M/F) with the ANR MIJMA (International Migration of Young Africans and Minors to Europe.
in the destination countries. - contributing to the drafting of the final research report to be submitted to the ANR (synthesis, analytical reflection and drafting of the report), in collaboration with
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(https://engineering.pitt.edu/bioengineering ) invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, electrical engineering, or a closely related discipline
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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills
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analytics, geographical information science, satellite positioning, ubiquitous positioning, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies
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for energy systems Digital twins and energy analytics Energy communities and electricity markets Energy system modelling and optimisation Green hydrogen technologies Key Responsibilities Conduct high-quality
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) Previous experience with calorimeters and semiconductor-based detectors is considered an advantage; f) Communication skills, teamwork abilities, and strong analytical and synthesis skills. Specific
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. For recent examples of their work, see https://otheramerica.org/ and https://nicholaswpapageorge.com/ Conduct fieldwork and analyze data. Participate in weekly research group meetings. Prepare mandatory