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Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
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Ultrasound (UDUS) Research Group and the Michigan Institute for Imaging Technology and Translation (MIITT) at the University of Michigan. Our team is positioned at the interface of ultrasound (US) and magnetic
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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for three references. Please note that multiple documents can be uploaded in the box. APPLICATION DEADLINE: Review of applications will begin on June 20, 2025, but the position will remain open until filled
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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. Preferred Qualifications Expertise in computational data analysis and familiarity with software platforms for image and electrophysiological data processing. Knowledge of bioinformatics, AI-driven phenotyping
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to understand the role of subcortical circuitry in normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology
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: experimental designs, sample preparation, imaging and digital image analyses. This position requires a thorough understanding of and extensive hands-on experience with light and electron microscopy, in order to
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The Lead Researcher within the Cell and Tissue Imaging Center's electron microscopy facility utilizes an established skill set in electron microscopy and histology (tissue processing, resin