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physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
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30 Aug 2025 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 12
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24 Aug 2025 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Biological sciences Medical sciences Researcher Profile Recognised Researcher (R2) Country Sweden
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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experiments (both in the lab and in the field), coordinating cross-cultural studies involving multiple international research groups, data analysis, computational modeling, and writing scientific articles
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responsible for creating and refining computational models that simulate hydrogen, ammonia, and methanol combustion in internal combustion engines and gas burners. Data Analysis and Interpretation: You will
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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30 Aug 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Other Physics » Quantum mechanics Physics » Other Researcher Profile Recognised
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, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural