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and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow
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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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Agencies will be returned. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/ Where to apply
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cephalopods Ability to work in an interdisciplinary research environment Specific Requirements Programming experience (Python and R) Experience with behavioral experiments and quantitative analysis Interest in
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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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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