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sensing, and field data, you will work on clarifying the links between water and food security in rainfed systems in Ethiopia and Kenya. Cost-benefit and return-to-labor analyses will inform farmer
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, including PhD candidates, postdocs, and students, largely work together on three main themes: the energy transition, sustainable aerospace, and safety and security, with the aim of tackling climate change and
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international conferences and collaboration with leading partners. Your qualities A PhD in environmental epidemiology, environmental health, or a closely related field; strong statistical skills, preferably in
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experiments; analyze and interpret results of experiments; write papers for publication; supervise bachelor, master and PhD student projects; present data at local, national and international scientific
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to publish, expand your professional network, and develop expertise at the intersection of systems modeling, sustainability, and industrial practice. Job requirements A PhD in systems engineering, industrial
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that are researched by PhDs and Postdocs to develop HI. It is our aim to be able to use the developed metrics and methods to evaluate how well these projects provide solutions for HI as well as establish synergies
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institute to conduct research on the labour market and social security in the Netherlands. Potential subjects include trends and developments in sickness absenteeism and incapacity for work, labour market
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researcher who is excited by fundamental research, method development, and interdisciplinary science at the chemistry–biology interface. Next to that you meet the following criteria: A PhD in Chemical Biology
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criteria: A PhD in Chemical Biology, Bioorganic Chemistry, Synthetic Chemistry, or related field. Expertise in organic synthsis, compound characterization, biochemical assays, and cell-based assays. Prior
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level skills in the other field. PhD or close to completion PhD in Computer Science, Robotics or related discipline Advanced skills in software development and ROS. Analytical skills to understand complex