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also receive training in use of Excel spreadsheets, PowerPoint, Visio, and plotting and statistical analysis using various software platforms. Learning Objectives: Under the guidance of a mentor you will
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effective? The project is aimed at technical innovations in computational physics and computer vision (sensing, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue
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the characterization, safety, biocompatibility, and performance of nanomaterials used in regulated products. Learning Objectives: You will engage in structured research training under the mentorship of FDA scientists
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CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias) | Bilbao, Pais Vasco | Spain | 3 months ago
-based approach with a machine learning model (foundational model) to propose protocols for the sequential induction of transcription factors to generate desired cell subtypes. The selected candidate will
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at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to conduct cutting-edge research on AI-based forecasting and analytics for shipbroking and maritime decision support
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studies and machine learning, the research emphasizes vulnerable groups such as the elderly, low-income households, individuals with pre-existing health conditions, children, and outdoor workers. By
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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research questions. Strong quantitative research skills and proficiency in Python or R. Experience with large-scale textual data, natural language processing, machine learning, transformer-based models
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, including collaboration with industry partners. Experience applying AI, machine learning, or advanced analytics to integrate chemical, sensory, process and experimental data to support innovation and process
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology