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analytical and molecular techniques Profile MSc degree in biomedical engineering or related discipline Previous experience in tissue engineering and cell culture is required Previous experience in data
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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with leaders from research, industry, and policy at eye level. You have strong analytical, communication, and organizational skills. You have excellent command of English and at least one Swiss national
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in economics, education policy, sociology, or similar are helpful, as are analytical skills gained from research, data science, or programming experience. You are interested in research, but not
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consist in the development of analytical low-order models and in large eddy simulations of the compressible Navier-Stokes equations. Profile You are expected to have a MSc degree in Mechanical Engineering
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junior team members; for experienced data scientists, focus on applied analytics within ongoing group initiatives. This position offers flexibility to align with your expertise, bridging computational
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experimental information available, which hinders the disentanglement of intertwined processes. The Ph.D. candidate will work in the subgroup of Dr. Dmitry Zimin and focus on realizing novel experiments
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Digital Processes: Integrated information management from office to site, incl. visual analytics and LLM-enabled processes. Intelligent, Collaborative Project Delivery: Greater data transparency and multi
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Lead the implementation of analytical processes and infrastructure Provide ideas and solutions to reach milestones as efficiently and as early as possible Regulatory & Quality Leadership Coordinate
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software development practices, including version control systems, debugging, testing, and deployment. Excellent problem-solving abilities and strong analytical skills. Ability to work effectively in a team