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Field
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Description: Apply Position Description Main Responsibilities 1. Conduct Drug discovery and high throughput genomic imaging study. 2. Stablish high throughput (HTS) techniques, including automated seeding
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mandatory under the law, otherwise it is voluntary. Your personal data will not be processed by automated means and will not be subject to profiling. Recruitment: Positions and Competitions for Academic
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students as needed. QUALIFICATIONS Doctoral Degree in Automation, Robotics, Control, Computer Science, Electrical Engineering, Industrial Engineering, or a related field; advanced ABD will be considered and
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for senior leadership and respond to requests thereof (e.g., papers, presentations, and briefings) Participate in program design and implementation Develop, implement, and automate new analytical tools
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology
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Qualifications Education PhD in Physics, Material Sciences or related field. Experience and Technical Skills Strong background in magnetism and spintronic devices; Capacity to design and automate data acquisition
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applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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robust platform for the online and real-time harvesting of valuable information from diverse data sources to support various agricultural applications. Nostradamus will establish an automated pipeline