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"Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Draževic, and will jointly develop the heterogeneous
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approaches to data analysis, atomistic details of thermal catalysis and electrochemical reactions at gas/solid and liquid/solid interfaces are revealed. In particular, structure-reactivity correlations
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well as evaluating plant protein digestibility using in vitro systems. Analysis of protein modifications is also highly relevant. The candidate is therefore required to have hands-on experience with setting up
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Two fully-funded postdoctoral or PhD student positions in experimental mesoscale bioinspired materials, DNA nanoscience, and/or soft matter physics The university: Johannes Gutenberg University
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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PhD in computer science (or related) with applications to biology, or a PhD in Biology, with a solid component of computer science. Contact Information Project D Stéphane Verger, Department of Plant
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. Appropriate workload/time/project/budget/people management skills. C7. Extensive IT and data analysis/interpretation skills as appropriate. C8. Self-motivation, initiative and independent thought/working. C9
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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analysis followed by online interviews for shortlisted candidates.Questions: academicoiea@usp.br.More information: www.iea.usp.br/pesquisa/oportunidades-pesquisa/fapesp-economia-politica-internacional-3