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methods that connect sensing, artificial intelligence, and decision-making for agricultural, food, biological, energy, environmental, and materials systems. The lab's core methodological focus includes
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passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain
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independent research aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as
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fellow is required to have completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. This qualification requirements must be fulfilled no later than at the time a decision is
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assays; contribute to the development and modernization of synthetic, characterization and evaluation tools; prepare scientific manuscripts; collaborate with internal and external researchers; Candidate
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scientific careers, collaboration, inequality, credit, access, and institutional decision-making; Social networks, collective intelligence, group behavior, cooperation, strategic interaction, and human-machine
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associated to the digital twin will enable predictive, interpretable, and actionable data to assist researchers, clinicians, and public health authorities in making informed decisions, to generate, and to
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staff. Contribute to the design of experiments, data acquisition, data analysis and interpretation, prepare manuscripts, mentor junior researchers and work independently. Experience in cellular/molecular
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. For more information see https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software
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to shape the decision-making process at all relevant levels. The livestock sector is a crucial component of the food system and, due to its impacts and contributions, can play a defining role in any sensible