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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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to two years. About this opportunity: We are a diverse, driven group developing cutting-edge genomic technologies to quantify the effects of genetic variation at scale, engineer genomes and understand
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Posting Details Position Details Title Multiple, Tenured, Associate or Full Professors in Computer Engineering Appointment Status Tenure Department IU Bloomington Vice Provost For Faculty Affairs
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dexterity using fine motor skills. Dependability. PACS experience as well as proficient computer entry skills. Experience with digital imaging in an inpatient and trauma setting. Familiar with GE C-arms
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Sciences, Mathematics, Computer Science, or Engineering, or demonstrably equivalent qualifications and experience Minimum three years’ experience in a data intensive discipline demonstrating a proven role in
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submitted by April 15, 2026. Applications received after the deadline may be considered. To apply: please click the Apply Now icon on this page or visit Faculty Lecturer Positions or https
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description La presbyacousie, perte auditive liée à l'âge, touche environ un tiers des
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; multidisciplinary researchers who continue to push the boundaries of innovation in physics and engineering to develop cutting-edge methods for enhanced anatomic and functional imaging; staff who are dedicated and
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, agronomy, or a related field Desired Qualifications Strong skills in satellite remote sensing, GIS, and statistical analysis. Experience using cloud-based computing resources (e.g. Google Earth Engine