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Field
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PhD Positions Application Deadline 25 Sep 2026 - 13:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2026 Is the job funded
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programme Collaboration with Stanford University and the global LITE network Advanced training in quantitative proteomics and computational biology Relocation support and eligibility for LITE Care & Career
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Semiconductor Manufacturing and Research Technology Innovation Corridor (NY SMART I-Corridor) Tech Hub initiative, the Center for Supply Chain Analytics leads the Supply Chain Activation Network (SCAN) project
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 9 days ago
collection Presenting and publishing ESS-relevant research in scientific conferences and journals Your profile: Above-average completed PhD (as well as a Master) in the Social Sciences (for example Sociology
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mechanisms. Elucidating Cellular Networks: Linking sensory phenotypes with the molecular and biological functions of GPCRs. Nurturing Young Talent: Supervising and training chemistry and food chemistry
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mechanisms. Elucidating Cellular Networks: Linking sensory phenotypes with the molecular and biological functions of GPCRs. Nurturing Young Talent: Supervising and training chemistry and food chemistry
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. QUALIFICATIONS • PhD in Biological Sciences, Chemical Engineering, or related fields • Strong background in microbiology and quantitative analysis SKILLS • Microbial cultivation and bioreactor operation • Ability
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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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Lab and Network Science Institute meetings and contribute to the group's collaborative research culture. Person Specification Criteria A PhD, awarded or near completion by the start date, in
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, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute