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project TARGETWISE. The candidate will be responsible for conducting machine learning omics data analysis within the computational team. The details on responsibilities, obligations and rights
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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), funded by Autonomous Region of Sardinia (RAS) within the project “Process Analysis in the Sardinia Region” – RICRAS_CTC_MAPPATURA_PROCESSI_2026_SPANO – Agreement between the Autonomous Region of Sardinia
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for the treatment of these diseases, with a focus on ion channels. Our work combines in vitro and in vivo model systems, human tissue analysis, hormone secretion assays, electrophysiology, (live) imaging, molecular
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(NC). In the project, we aim to establish a reliable analysis package for nitrocellulose. Your role is to develop and validate methods for the key properties of NC – including degree of substitution
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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University of California, Los Angeles | Los Angeles, California | United States | about 16 hours ago
activities may include analysis of whole-genome and next-generation sequencing data (including quality control, variant calling, annotation, filtering, genetic association, and biological interpretation
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collaboration and provides access to high-resolution molecular analysis technologies. Mandatory requirements • Experience preparing clinical samples for multi-omics analyses, particularly transcriptomics and
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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting gram
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TEM/STEM experiments using nanometer-sized electron beams. Development of correlative protocols for ePDF and fluctuation microscopy (FM) data acquisition and analysis, focusing on middle-range order