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. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry
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, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc students. Secure research
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Studying lipid alterations of tumorous material by mass spectrometry imaging Quantification of corresponding lipids using liquid chromatography mass spectrometry Data analysis of sequencing and microscopy
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framework to enable meta-analysis of multiple large biobank datasets, all of this with the aim of increasing our sensitivity to unravel the complex genetic causes of disease and, in so doing, identify new
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candidate in this project is element-specific analysis of the influence of electronic decoupling on the spin-state switching of SCO molecules by characterizing the magnetic and electronic properties of spin
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balance of opera in Ireland. The project, entitled Knowing the Score: An Analysis of the Gender Balance of Opera Productions on the Island of Ireland (2000-25) assesses the gender balance of the key
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Simulations (LES). The analysis will be performed together with teams at the Helmholtz-Zentrum Hereon that focus on ocean turbulence and machine learning as a part of the TRR181 Collaborative Research Centre
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. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication. Participation to international conferences to facilitate successful integration
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of sensory tools that can help to ensure high quality of new food products. You will be employed in the Research Group Bioactives – Analysis and Application, which has research in chemical and sensory quality
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data analysis and statistical tools Who we are The Department of Ecoscience is engaged in research programs and advisory work covering the major biological subdisciplines. We conduct world-class research