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above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
excellent study management and analytic skills who are interested in the role of peers, social media, and the developing brain. We collect data using diverse methods, including longitudinal fMRI and fNIRS
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information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific
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related engineering fields. The candidate should have skills and experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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, Learning Analytics, Data Science, Cognitive Science, or a related field, strong scientific profile, with nationally and internationally visible research (shown by relevant publications) in fields highly
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addition, you should meet the following requirements: Hold a PhD degree in biology, ecology, analytical chemistry or equivalent Educational and professional qualifications relating to the scientific area of
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statistical data related to the social class position of migrants with different legal statuses. The organisation of an international academic workshop is part of the tasks to be carried out within
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in manufacturing energy use, process systems, or industrial emissions reduction technologies. Possess an excellent quantitative and analytical background acquired through PhD research, which can be
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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data