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with specialized expertise in sensor interfacing and Data Engineering to join our technical team. This role combines traditional system administration responsibilities with hands-on work in sensor
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interests, including both scientific topics and algorithm/software development; Potential synergies with ongoing research at the University of Michigan with at least 2 professors on campus applying
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sources including electronic health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians
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with partners to secure external funding and translate prototypes into reliable tools for clinical and public-health impact. Projects use multimodal data sources (including EHR, imaging, textual, sensor
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Experience with NGS analysis pipelines, algorithms, and workflows, including bulk DNA/RNA-Seq and single-cell analysis Exposure to clinical data standards (HL7, FHIR, OMOP, DICOM) and experience working with
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) that will make use of various machine learning algorithms for attack vectors and vulnerabilities, such as intrusion detection, malware analysis, spam filters, anomaly detection, etc. Supervised, unsupervised
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actively seeking enthusiastic and innovative early-career researchers to join our Algorithm Core team. The successful candidate will engage in cutting-edge research in applied mathematics, focusing
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, file system implementations, I/O, deadlocks, distributed systems, synchronization, distributed file systems, case studies. Graded ABCDE CSC 575 - Algorithm and Complexity Analysis Graduate standing. (4
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field, have a strong record of research productivity (e.g., publications and software) in mass spectrometry-based proteomics, and possess substantial experience developing algorithms and pipelines
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that includes conducting arrhythmia analysis. Interpret and document cardiac rhythms as directed by established patient care algorithms and quality assurance standards.\ Communicate with nursing units regarding