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 - 
                Field
 
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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. Short-listed applicants will be interviewed either in person or via a video call. The position is to be filled as soon as possible. Where to apply Website https://apply.mnf.uzh.ch/position/47742977
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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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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knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are
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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications A master's degree (M.Sc. degree or equivalent) in civil engineering or a closely related field. Competent programming skills using Python
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field. Solid background in digital IC design and digital signal processing. Hands-on RTL design skills (SystemVerilog / Verilog / VHDL) plus scripting (Python / MATLAB / C/C++). Strong command of English
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of the Export of Strategic Goods, Services and Technology. This means that candidates from countries subject to export restrictions or listed in threat assessments from national security authorities will normally
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of the Export of Strategic Goods, Services and Technology. This means that candidates from countries subject to export restrictions or listed in threat assessments from national security authorities will normally
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private computations. Advanced programming skills, preferably experience with programming in Python. Ability to perform research in a cross-disciplinary environment. SE NOTE: For detailed information about