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research. Responsibilities : Develop and apply machine learning and data-driven methods for the analysis and interpretation of synchrotron X-ray scattering data, including diffraction and total scattering
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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24 Apr 2026 Job Information Organisation/Company Cluster of Excellence Circular Bioengineering Research Field Chemistry » Biochemistry Technology » Biotechnology Biological sciences » Biology
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• Bioinformatics and data analysis using R and Python • AI/ML-assisted biological data analysis. • Expertise in assay development for new compounds and ingredients. • Ability to manage laboratory personnel
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-throughput biomarker and data analysis and modelling, Zero_HiddenHunger_EU will deliver credible evidence enabling policymakers and food system actors to work towards eradicating micronutrient deficiencies in
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++ - Development of AI tools - Development of data analysis tools - Analysis of cryo electron microscopy (cryo-EM) images - Collaboration with cryo-EM experimentalists - Communication of results internally and at
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database. The postdoc will be under the direct supervision of Laura Dugué, PI of the ERC Consolidator project SAMPLING. Activities will include: Computational modeling Data analysis Toolbox development Data
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20 Apr 2026 Job Information Organisation/Company LISER Department Urban Development and Mobility Research Field All Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis