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transferability. Data pipelines for structured and unstructured data (images, text, social media, retail data) will be designed and validated on real-world case studies. Where to apply Website https
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the development of novel mathematical and computational approaches for advanced relational data analysis. Where to apply Website https://pica.cineca.it/unimc/20-br-071/ Requirements Research FieldTechnology
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Analyses and Machine Learning (Python) Feature extraction from physiological data (signal processing) Development and validation of machine learning models Implementation of reproducible analysis pipelines
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into giving trends. Ideally utilizes R or Python to implement internal models as well as manage external models Identify and qualify new prospects through routine screenings and employment of electronic
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technologies and laboratory setups. Knowledge of and proficiency with optical software and photonics tools. Knowledge of (Python and C) programming for test data analysis. Knowledge of opto-mechanical systems
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simulation tools in python to develop innovative algorithms, then conduct tests on the THD2 testbed to validate the algorithm's performance under realistic conditions, and finaly participate in observing runs
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mixed-methods research, and fostering team-level skills in data science, programming, and reproducible workflows. Experience with advanced analytic tools (e.g., R, Python, SAS, Stata) and translating data
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: MATLAB and/or Python Required Additional Knowledge, Skills and Abilities: Strong quantitative and computational skills; ability to design and execute complex research protocols; excellent oral and written
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Grade Level 46 Salary Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https://hr.uky.edu
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, KY Grade Level 45 Salary Range $47,278-78,000/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu