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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
Network SPARK for the doctoral project ‘Spatiotemporal Information Processing’. Last day to apply is November 30, 2026. The earliest starting date is February 2027, or by agreement. Project description
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Network SPARK for the doctoral project ‘Spatiotemporal Hybrid Light–Matter States’. Last day to apply is November 30, 2026. The earliest starting date is February 2027, or by agreement. Project description
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, 6G communication, and wireless sensor networks, as well as research and education in Life Science, health technology, smart electronic sensors, and medical systems. The Department of Electrical
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opportunity to gain experience in teaching and supervision. You will become a member of the Network of Young Scientists (NYS) within CH2ESS, which organizes workshops, field excursions, interdisciplinary
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competence for resilient and diversified forest landscapes. The doctoral student will become part of this active network and the department’s forest pathology research environment. Read more about staff
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semi-quantitative network methods (socio-technical configuration analysis, STCA), and contribute to the project's methods development compare cases across sectors and across high- and middle-income
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, molecular communication, and systemic molecular networks, and to identify how these processes change across physiological and disease states. Through this work, you will develop predictive and biologically
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enjoys a wide network of strong international collaborators all around the world, for example at the University of Oxford, the University of Melbourne, and the University of California, Los Angeles. We
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opportunity to gain experience in teaching and supervision. You will become a member of the Network of Young Scientists (NYS) within CH2ESS, which organizes workshops, field excursions, interdisciplinary
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, molecular communication, and systemic molecular networks, and to identify how these processes change across physiological and disease states. Through this work, you will develop predictive and biologically