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- Wrocław University of Science and Technology
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Field
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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/Qualifications Requirements: • Master’s Degree in Computer Science or Mathematics or Physics or a relevant discipline. • Background in machine learning or programming
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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and attention to detail. - Ability to work independently as well as collaboratively within a research team. - Good organisational and time-management skills. - Motivation to learn new experimental and
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to independently plan and conduct experiments; be familiar with, or willing to learn, methods used to investigate protein–ligand interactions and molecular mechanisms of compound action, as well as methods
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fluency in English Willingness to learn and take new challenges, abillity to work independenly, analytical thinking Good interpersonal skills and collaborative attitiude Specific Requirements you may find
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/Qualifications Background in machine learning or programming. Specific Requirements Knowledge of Optical Coherence Tomography or Quantum Optical Coherence Tomography preferred but not mandatory
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written; ▪ Willingness to learn new skills and take up challenges. A track record of publications in JCR-listed journals and/or participation in scientific conferences will be an additional asset