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experimental models with patient-derived specimens. Utilizes cutting-edge technologies Long-standing interest in advancing the understanding of human neuro-immunology Focus on analysis of: Cerebrospinal fluid
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Conduct comparative benchmarking and performance analysis against state-of-the-art studies Perform numerical modeling and validation of brain-inspired and neuromorphic algorithms Design, set up, and operate
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
meaningful insights. Develop pipelines for isoform-resolved analysis of short- and long-read single-cell RNA-seq data. Integrate multimodal datasets across developmental stages, tissues, and disease states
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and data analysis Your Profile Master's degree in chemistry, physics, or related fields Excellent communication skills and ability to work in a team are essential Very good command of written and spoken
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resolution analysis, monitoring of chemistry, structure and transformations at the atomic scale of buried interfaces and defects by correlated experimental techniques in both space and time (e.g., correlated
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analysis. This PhD project is part of Subproject 2 (SP2), which aims to provide a mechanistic understanding of maize multistress responses at the physiological, biochemical, and molecular levels. SP2 focuses
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interactome analysis in contexts of health and disease. Projects have a strong dry-lab focus but can incorporate molecular or translational wet lab components if sought. The 3-year PhD program will be co
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activities: Analysis and presentation of results at scientific conferences and in journals Support in the preparation of third-party funding applications Participation in academic teaching and public relations
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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
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the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biological approaches to the development of new imaging