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Field
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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multidisciplinary automated drug discovery lab developing technologies to improve global health. The candidate will support the development of in vitro bioassays to advance drug discovery programs for humans and
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stratigraphy, weak layer formation, and avalanche initiation. Enhancing spatial and temporal snowpack datasets through field measurements, automated instrumentation, and remote sensing. Collaborate
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). Strong capability in data analysis, scripting, or laboratory automation (Python, MATLAB, or LabVIEW). PhD must have been obtained within 3 years from date of hire. Preferred Qualifications Extensive
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should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed
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: OBJECTIVES | FUNCTIONS Preparation of hardware setups for the automated characterization of Mixed-Signal circuits. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its
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/BO; Docker/Linux/Git familiarity. Track record in automation or autonomous labs; good communication and collaboration skills. We regret to inform that only shortlisted candidates will be notified
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particular focus on Value Based Healthcare. For instance, the measurement, validation and automation of PROMs and PREMs. Health policy intelligence: health policy impact analysis aimed at policy makers
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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particular emphasis on integrating satellite LiDAR and UAV data with field observations. Applying statistical modelling, automated machine learning approaches, and artificial intelligence for the analysis and