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. These are engineered composite structures, invoking dispersive wave phenomena to gain exotic properties that go beyond what is considered possible in Nature. A key property is the bandgap, a range in which waves
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novel sensing to land, rest, and collect environmental data efficiently, extending mission duration in natural, unstructured settings. Job description We are seeking a motivated PhD candidate to join a
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artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline Demonstratable background in machine learning, information retrieval or natural language processing
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of how fundamental biological processes shape natural ecosystems, and enable novel biotechnological applications. Key responsibilities: Perform bio-electrochemical cultivations with yeast (S. cerevisiae
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industrial partners. You are a naturally curious person who is eager to learn more and has a strong interest in research. Excellent communication skills in English are a prerequisite (C1 level). We prefer
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-edge in silico, in vitro, and in vivo technologies to understand, predict and treat thrombosis? This is your chance!! Our goal: Develop multi-level thrombosis risk prediction models by integrating
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or tidal tanks, that replicate natural conditions, and allow us to study ecological processes. To support our field and laboratory research, we are looking for a dynamic and motivated individual, who can
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industrial partners. You are a naturally curious person who is eager to learn more and has a strong interest in research. Excellent communication skills in English are a prerequisite (C1 level). We prefer
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and contributing to a refined understanding of psychological processes. We value collegiality, knowledge exchange, and collaboration within our research group as well as with other research groups
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intelligence can help us better understand and assess human wellbeing. Traditional wellbeing measures such as surveys are limited, they are static, infrequent, and unable to capture the dynamic nature