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clinical approaches, including: Histopathology and digital pathology (whole-slide imaging, WSI) Quantitative analysis of the tumour immune microenvironment AI-based image analysis, machine learning and deep
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Multidisciplinary geophysical time series analysis for a new monitoring approach in a multi-hazard environment based on an innovative and dense network deployed near an active fault: the Alto Tiberina case study
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test facilities with regard to the research and project objectives Collaboration in the analysis of operated SOC stacks through disassembly and post-test characterisation to identify material
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with experience analyzing cellular and molecular networks underlying tissue homeostasis and disease, especially using single-cell and spatial omics approaches. Our research is highly interdisciplinary
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates
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within a Research Infrastructure? No Offer Description The University of Bucharest announces a competition for the position of Research Assistant within the European project "Doctoral Network
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symptom networks; and Preferred skills in programming, quantitative analysis, and handling complex datasets. Strict MSCA eligibility requirements: You must not hold a doctoral degree at the date
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, or related fields Strong interest in quantitative methods and drug development Hands-on experience with modeling and simulation software tools (e.g., NONMEM, R) and statistical data analysis Programing skills
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research impact. More information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a motivated, detail-oriented researcher enthusiastic about
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis