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Field
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, Biology, Bioengineering, or related field. Strong technical background in experimental rig design and construction. Proficiency in Python programming for data analysis and experimental control. Experience
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quantitative modeling and data analysis. Proficiency in at least one of the following: hydrologic modeling, energy systems modeling, systems simulation, or machine learning/AI. Ability to work effectively on
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would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
robust single cell-based foundation models on digital pathology images and will combine AI with our latest Deep Visual Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath
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cell transcriptome (scRNA-seq, multi-omic data, metabolomics) · Experience with immune cell metabolism (Seahorse analysis, metabolism assays, metabolic and immune phenotyping) · Experience with
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, and analyzing these data using advanced statistical models and visualization techniques. The job also emphasizes the dissemination of knowledge about population health, particularly through
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be expected to l ead data collection, manage the day-to-day running of the project, maintain contacts with universities, and support the analysis of Black students’ experiences. The PDRA will also
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; GIS software; spatial analysis and visualization; programming in R, Python, or similar; quantitative data collection and analysis; scientific synthesis and writing. Experience partnering with non
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data analysis, visualization, and quantitative assessment of model outputs. Strong communication and writing skills, with an interest in collaborative, interdisciplinary research. Preferred Skills
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biochemistry and biophysics. See www.microbial-electricity.eu for more information about our research. The aim of the three postdoctoral research projects (2 years – extendable to three years) is to achieve a