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team to study challenging ethical problems related to medicine and the life sciences. Your position Contribute towards research projects on ethical issues related to biomedical ethics. Supervise PhD
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modulators. Your profile We are looking forward to applications from highly motivated researchers (m/f/d) with a basic education in the life sciences and a PhD in biochemistry, molecular biology, or equivalent
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
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depth. PhD degree in Physics, optical engineering, biomedical engineering, electrical engineering, or closely related fields Excellent skills in development of complex optical systems Experience in
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evaluation. Collaborating with heritage partners (e.g., Swiss National Museum, SIK-ISEA) and preparing evaluation reports and a white paper for applied use. PhD in Digital Humanities, Imaging Science, Computer
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per week) Participate in academic self-governance Completed relevant university degree (Master's or equivalent) and a completed PhD in sport science, psychology, or a related field Experience in data
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courses at the Department of History; communicate the results of your research to a broader audience (through blogs, podcasts, social media etc). You must hold a PhD (or equivalent) in History. You should
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profile We welcome applications from candidates who will have completed their PhD by the start date. Relevant fields include behavioral marketing, psychology, experimental economics, quantitative marketing
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their PhD by the start date. Relevant fields include behavioral marketing, psychology, experimental economics, quantitative marketing, or computer science. For Project A, experience with natural