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- Prof. Dr. Ricarda Toerner
- University of Bern
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset
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We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
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). The University of Bern supports the Better Science Initiative and offers a range of programs including workshops, mentoring, and family support services (see, e.g., Care Grants and Job Sharing Guidelines ), in
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and quantitative science. Fluency in English, both verbally and written, and good communication skills are a must, as is experience with a higher programming language (e.g., Fortran, C, R, Python). You
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Programming experience (Python, MATLAB, or similar) Required people skills: Highly self-organized, structured, and motivated to explore new techniques Strong problem-solving mindset and willingness to tackle
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, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python
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proven experience in FPGA programming and high-speed electronics circuit design and testing. Experience in quantum information processing and quantum communication algorithms, as well as fiber optics
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running community programs across our industry and startup offerings, this person will be actively making things happen on the ground. You’ll help shape the future of AI entrepreneurship by translating
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for global society and future generations. A tailor-made program for your professional development. Participation in and shaping a dynamic research team with supportive colleagues, fostering collaboration and
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with