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, deployable tool. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python
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using Python or R Partner with leading Swiss and international companies in applied research projects at the intersection of technology and marketing Your profile Your Profile: An above-average degree
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quantitative and methodological questions in marketing and technology/AI Strong programming skills in R or Python; experience with large-scale or field data is a plus A high level of personal initiative and
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field, completed by the start date or with the defence scheduled this year. Strong applied machine learning skills and fluency in R and/or Python Experience with intensive longitudinal, sensing, or other
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/Python codes. Write scientific publications, file patents, disseminate work at national and international conferences. Maintain collaborations and deliver periodic reports that describe your progress
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simulations software such as COMSOL or CST. Characterize samples in the lab. Model experimental data from first principles using Matlab/Python codes. Write scientific publications, file patents, disseminate
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programming languages and frameworks such as Python, PyTorch, or TensorFlow is an advantage Fulfillment of the formal admission requirements for doctoral studies at the University of St. Gallen
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data (e.g., Refinitiv, PitchBook, etc.) and experience with experimental or survey-based methods is a plus; experience with programming languages and statistical software (e.g., R, Stata, or Python
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independently manage your time to meet deadlines You enjoy hands-on work and prototyping with real-world devices and sensors You have a good knowledge of programming languages C/C++ and Python Desirable
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areas. ● Strong computational/programming skills (Python/C/C++) including computational mechanics, and scientific machine learning. ● Excellent English communication skills (oral and written). We offer