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with skills in computation and image processing is highly desired. Excellent communication skills and an ability to work across platforms in a collaborative style are desired. St. Jude is an Equal
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extension. Your Tasks Our overarching goal is to understand the neural mechanisms of cognitive functions, focusing on learning, attention and decision making. We investigate the contribution of subcortical
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activity will be academic research in association with a faculty member or team. The appointee will be responsible for preparing samples for X-ray and electron microscopy (EM) imaging (e.g., animal
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
Qualifications and Skills Knowledge of microbial metabolic processes and methods to study them (e.g., tracer-based incubations) and general marine/benthic biogeochemistry Interest and intention to acquire and
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responses are affected by the native microenvironment in order to design and engineer natural polymers to support the investigation of these processes in vitro and in vivo. Our research liaises engineering
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. The applicant should be proficient in written and spoken English, and have good computer skills (e.g Word, Photoshop, BioRender, Excel). Also, it is important that the candidate demonstrates independence, as
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly talented and
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial