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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 2 days ago
with quantitative data analysis using R, Python, MATLAB or comparable software; GIS experience is advantageous Very good command of English (approximately equivalent to CEFR level C1); knowledge
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, data science, or related - Strong programming skills (Python and/or R) - Experience with machine learning or data analysis - Knowledge of deep learning frameworks Application Procedure Interested
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
, we combine imaging mass spectrometry with digital pathology and computational data analysis. The PhD project "Computational Imaging Mass Spectrometry: Spatial Metabolomics, Spatial Exposomics, and
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-material systems in modern manufacturing. The work focuses on plastics and metals for hybrid design and analysis studies. The project develops an integrated digital framework in the context of multi
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of quality-of-life measures, analysis of risk and resilience factors, and longitudinal research into patient and family outcomes. You will collaborate with clinicians, psychologists, methodologists, patient
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background and interests, with an emphasis either on iPSC-based disease modelling or on computational analysis and integration of multi-omics data.
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will apply a broad spectrum of state-of-the-art techniques, including: microbial isolation and culturing, plant infection assays, microbiome sequencing and analysis, whole genome sequencing, comparative
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(WEFE) nexus, and model-based learning and communication. The group makes use of a variety of tools and techniques: stakeholder mapping, governance analysis, participatory modeling, non-linear feedback
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desk-based population viability analysis. Improved understanding of habitat preferences will help identify, prepare and manage future translocation sites, support existing sites, and provide insight
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. The successful candidate will work closely with academic and clinical collaborators to support the collection, management and analysis of multimodal research data. The project will investigate the combined use