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but not limited to Stata and R. Produce summary statistics and conduct basic statistical analyses Writing scripts in python to automate processes and for webscraping Assist with data analysis and
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in complementary methods such as ICP-MS, XRD, XPS, SEM, TEM, EDX Scripting in Matlab, Python or equivalent languages for data analysis Strong publication record in peer-reviewed journals What you will
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/ML/CV venues Proficiency in Python and deep learning frameworks Experience in machine learning, computer vision, or NLP Strong communication and collaboration skills Our commitment to inclusion and
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or more programming languages or statistical packages (e.g. Python, R, SPSS, SAS, etc.) Familiarity with data sources such as ICPSR, Mergent, Roper, Social Explorer, World Development Indicators,Â
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Practical experience with vector network analyzers and on‑PCB LRM/TRL calibration/de‑embedding. Proven experience in behavioural modelling and DPD (MATLAB/Python) Desirable Criteria Knowledge, Skills
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visit http://ktp.innovateuk.org/ . The skills the Associate will develop will put them at the cutting edge of power grid cyber-physical security, equipping them to address emerging threats, design
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), multimodal vision and language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate
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. Requirements: Hold a bachelor’s or master’s degree in Computer Science or a related discipline; Possess strong programming skills (e.g., Python, Java, C++, HTML, CSS, JavaScript, MySQL); Have experience with
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learning, deep learning, and statistical inference Experience with frameworks such as TensorFlow, PyTorch or Keras Experience with programming languages such as Python Full command of English (English level
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rheometry of polymer melts Troubleshooting of various polymer processing methods in the context of the circular economy Control engineering and automation; programming in Python, MATLAB, etc.; basic knowledge