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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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function. Existing surveys like the European Social Survey show extremely strong support for liberal democratic values across Europe, yet people are increasingly voting for far-right parties that reject
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/restoration Experience with spatial prioritization approaches and the integration of both ecological and social data using platforms such as Marxan or prioritizr Experience with agent-based ecological modelling
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society. For more details, please view https://www.ntu.edu.sg/ase . We are seeking a Research Fellow to join the research team led by Nanyang Assistant Professor Feng Tao in computational ecology. The role
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combining field sampling with laboratory experiments and statistical modelling to quantify genetic variation in complex traits, the candidate will test whether these contrasting histories have driven
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, the fellow will perform and analyse cellular and molecular experiments using established models of mitochondrial dysfunction, integrate the resulting data with previous findings, and contribute
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to alterations in mitochondrial function. During the 3-month fellowship, the fellow will use cellular models and methodologies already established in the laboratory, including cell culture, fluorescence microscopy
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or interpolated. 6. Work Plan: The work plan to be developed during the scholarship is within the scope of the project tasks, including: a) Development of numerical comprehensive models applied to gasification and
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language processing or text analytics, network analysis, optimization, or social media research. Proficiency in Python is required; experience with R, large language models, survey design or experimental research, and
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in the Social Media Analytics, the Research Fellow will work closely with the Lead PI in carrying out in-depth research to deal with huge volume of real-time rich multi-model data, scalable big data