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learn important competencies for their future. This is why we’ve created an ecosystem to inspire students (Bachelor, Master, and Doctoral students) to get started and explore the real need behind
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public opinion research, environmental politics and mobility/travel behaviour Workplace Workplace We offer Assisting the panel survey provides you with the opportunity to learn more about the fields
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100%, Zurich, fixed-term We are seeking a skilled engineer to join the Apertus post-training effort. The ideal candidate will develop, run, and evaluate the SFT and reinforcement learning pipelines
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-particle analysis Semiconductor nanocrystals, quantum dots, or other nanoscale materials Machine learning Scientific programming and quantitative data analysis Prior experience with every technique used in
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adaptation to a specific type of extreme event, it is important to ensure the exchange of inter- and transdisciplinary learnings across storylines. We seek a researcher to support the coordination and
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; How you would handle longitudinal data and missing values; Which statistical and/or machine-learning methods you would consider How you would validate and interpret the results. No actual analysis is
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independent architect or architectural collective will be selected to teach a design studio with ca. 25 students on campus for two days a week as Guest Lecturers for the duration of two semesters between Fall
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academic and industrial research. The topic of the PhD position sits at the crossroads of quantum computing, machine learning, and combinatorial optimization — an area where some of the most exciting and
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diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we
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in developmental tasks, they should have a strong interest in fundamental research, and have a general entrepreneurial mindset The candidate is willing to learn and apply fundamental concepts from