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(especially fMRI), experimental design, data analysis and programming (e.g., SPM, MATLAB, Python, R,…), scientific writing, and very good organization and communication skills. The ideal candidate is able
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in AI and machine learning – from classical approaches to large language models. You are proficient in Python and key ML libraries (e.g. scikit-learn, PyTorch, LLM APIs), and you have a track record of
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Learning; good command of Python programming language; competence in English at least at the C1 level *; competence in Polish at least at the C1 level*; * in accordance with the Common European Framework
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• Understanding of agricultural production systems in the U.S • Experience working with spatial data and machine learning models. • Strong knowledge of programming languages, such as Python, R . • Demonstrated
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
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documents, including OCR post-processing and parsing of legacy texts Proficiency in scientific programming (preferably Python), version control (e.g. Git), and data standards such as RDF and Darwin Core
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the starting date of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a
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Python for scripting and data analysis, metabolite ID via MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score
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to optimization algorithms Other closely related topics Your profile Master's degree in computer science, physics or a related field Advanced knowledge in the field of Quantum Computing Knowledge of Python Good