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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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the relevant field of study or possession of equivalent experience. We invite applications from accomplished physician-scientists or PhD scientists with expertise in spatial pathology and cancer. This is a
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etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis techniques. Qualifications Mandatory: PhD in Biology
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students at Bsc and Msc level in spatial research methods and sustainability-related topics. At the PhD level, you supervise researchers working on land use science and spatial modelling. You write project
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include experimental work, data analysis, and compilation of results. The primary focus of the PhD project is work with experimental in vivo and in vitro models. Additional tasks may be included within
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the Catwalk and Motorater equipment), spatial memory test (Y-maze). The software Anymaze to acquisition and analysis of behavior will be used for this purpose. Administration of golexanolone treatment to rats
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tissue using genetic mouse models, functional screens, and single cell and spatial omics technologies. More details about the laboratory: https://www.ibt.cas.cz/en/research-laboratories/laboratory
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, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the forefront of biomedical data science
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systems characterized by a high spatial and temporal variability of energy supply and demand. We look forward to your application. We are offering an interesting PhD position – Learning Tailored Iterative
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 12 days ago
integrate molecular and mechanical insights in developmental biology. Your tasks Develop computational pipelines to integrate single-cell transcriptomics, spatial gene expression, and biomechanical