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Field
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vivo neuroscience methods, including EEG/EMG telemetry, surgery, and pharmacological interventions strong skills in statistical analysis, data interpretation, and computational approaches to complex
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collaboratively with researchers and engineers to develop prototype solutions and human-in-the-loop evaluation frameworks. Conduct user studies and analyse results (e.g. eye-tracking, physiological sensing
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is
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: Design and conduct bioimaging experiments using optical, fluorescence, confocal, multiphoton, photoacoustic, or other advanced microscopy and imaging modalities Prepare and handle biological samples
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
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the research project as well as resources for the fourth year, provided the candidate successfully passes the review process. Applicants who were not selected for a NOMIS–ETH Fellowship in previous rounds may
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to: Contribute to development and deployment of particle imaging systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis
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models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in the field; (v) demonstrated leadership in research projects
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, working closely with other project participants on field measurements, laboratory work and model development. The candidate will be expected to: Contribute to development and deployment of particle imaging