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Identification of genomic and transcriptomic genetic biomarkers associated with Myotonic Dystrophies
Università degli Studi di Roma Tor Vergata - Dipartimento di Biomedicina e Prevenzione | Italy | 20 days agounderstood. The aim of this project is to optimize the molecular diagnosisi of DMs using innovative technologies (thrid-generation sequencing), characterize genotype-phenotype correlations, and identify non
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experience including optimizing clinic flow, providing in and outreach to patients and working collaboratively with the team to create a patient centered environment. S/he participates in Performance
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gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https://iramis.cea.fr/en/nimbe/lcmce
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Quality & Process Optimization Steward key invention, patent, agreement, licensee, and utilization data across Inteum, Salesforce, and related systems. Conduct data audits, reconciliation, validation, and
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the Purcell effect, which in the optimal case will allow for indistinguishability of emitted photons. Candidate should have MSC title from physics, material science or chemistry: Knowledge of nitride micro-LED
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the optimal case will allow for indistinguishability of emitted photons. Candidate should have MSC title from physics, material science or chemistry: Knowledge of nitride micro-LED processing will be required
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technologies and metrological tools, networked and connected systems (e.g., IoT), optimization, and industrial analytics. Aid in the integration efforts aimed at creating a fully functional lights-out
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: 6846824 Dental Assistant Position Information Position Title: Dental Assistant Department: Clinics Posting Link: https://www.ubjobs.buffalo.edu/postings/60640 Job Type: Full-Time Posting Detail Information
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for ANNs using cutting-edge vision science findings and techniques that go beyond the standard model. • Optimize ANN components using key experimental results from visual psychophysics as training data
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systems, optimizing the growth and transfer processes, and ultimately demonstrating wafer‑scale deposition for industrial MEMS applications. This project offers a unique opportunity to work at the interface