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data (e.g., Instagram and TikTok activity) from youth, to be able to gain unique insight into what they post and consume online. This proposed PhD project will form an integral part of a larger
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to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht
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scientific programming and numerical / statistical analysis of simulated and observed data. Candidates should be able to demonstrate motivation and a strong eagerness to learn, and have the ability to both
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contribute to the structural characterization of NS3–inhibitor complexes Process and analyze cryo-EM data using established computational pipelines and structural modeling tools Apply, or develop expertise in
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their growth. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading research
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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bottom-up approaches for investigating the mechanisms of chaperone-mediated protein folding. Your responsibilities will include: conducting independent experimental work and perform data analysis
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will collect ego-centric network data using a novel visualized network-data collection tool specifically designed to survey complex personal networks. Objective 2: examining the effect of recognizing
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the physical and biological pumps during rapid climate transitions (e.g., the last glacial period and Holocene) using sediment records. Our data will be used in marine carbon cycle models to predict
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these areas. Additionally, the absence of robust data can hinder understanding of how CBNRM affects resource use, equity, and benefit-sharing within communities. Without this insight, efforts may fail