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contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural
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motivated postdoctoral scientist to carry out single-particle spectroscopic studies and to develop data processing and analysis pipelines. The successful candidate will contribute to the setup and
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and technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will conduct comprehensive supply chain mapping, modeling, and analysis—integrating
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Scholar (FP01) – AI Imaging & Retinal Disease who is interested in ophthalmology to assist in refinement of AI models as well as validation of new biomarkers and data analysis to be able to predict whether
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micronutrient analysis of tree crops. Performs statistical analysis of metabolite and micronutrients. Establishes laboratory protocols for metabolite analysis. Leads and coauthors the writing of research-based
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and acquire spectral data Perform Raman spectral data analysis using machine learning algorithms Work with DiSTAP plant biology collaborators, training researchers in spectrosocpy Work with local
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, psychology, neuroengineering or a related discipline. A PhD in one of these fields and proven experience in programming for data analysis are required. Previous experience in neurophysiological data analysis
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management solutions. Our members are recognized experts in gamma-ray data analysis, with research spanning astrophysical phenomena and fundamental physics. Building on this expertise, the group is also
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. The position involves collaboration with partner researchers examining information analysis from complementary disciplinary perspectives. The successful candidate will join a multidisciplinary research team
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spearhead technical development, data analysis, and publication efforts for a student-led initiative using OpenBCI hardware, EEG recordings, eye-tracking integration, and machine learning to enhance neural