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will design, execute, and analyze single-molecule experiments using optical tweezers and confocal fluorescence imaging, building on previous work (O’Brien et al., Nat Comm 2024). Together with our
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versioned analysis-ready datasets without compromising source-data integrity; maintaining reproducible construct reports with descriptive statistics, scale reliability, tables, figures, and transparent
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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your own line, driven by real-world problems. You’ll collaborate with scientists across disciplines, securing funding and building partnerships to amplify your impact. And as a mentor and supervisor
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strongly influence crop growth, nutrition and resilience, but their behaviour depends on the crop, soil, environment and the surrounding microbial community. NOAH aims to make these context-dependent
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develop your own independent research programme and build your experience in grant development. Our offer a job for 1 year, with possibility to extend for an additional 18 months; a working week of 28 - 40
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Mediterranean NBS Community of Practice as a Social Innovation Network”. Building on insights from earlier translocal social innovation research (TRANSIT, URBANA, ARTS), the postdoc will kickstart and facilitate
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plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the
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versioned analysis-ready datasets without compromising source-data integrity; maintaining reproducible construct reports with descriptive statistics, scale reliability, tables, figures, and transparent
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interviews. Excellent interpersonal and communication skills and the ability to build rapport with research participants. The ability to work sensitively and professionally when discussing potentially