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Field
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networks and quantum circuits using techniques from (formal) computer science. You will work closely with this growing team, where most members, including the first PhD candidates who joined in September
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
causal circuit manipulations in rodents, we aim to uncover the neural mechanisms linking bodily states to cognition. The project is a unique cross-species collaboration between the Max Planck Institute
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of photonic technologies into future wireless infrastructures. You will investigate how photonic integrated circuits can enable scalable and energy-efficient signal generation, beamforming, distribution, and
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photonic integrated circuits and systems for enabling low-latency, fast network reconfiguration in real systems. Additionally, we focus on innovative solutions for switching and routing in secure quantum
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dispersive laser (ADL) photonic integrated circuits operating at 840 nm and 1060 nm. The group has the following visions: Conduct world-class research with significant economic and societal impact. Foster a
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neuroscience and to understand how brain circuits give rise rice to cognition, behavior, and mental function in the brain. This is achieved by integrating cutting-edge technologies with computational and
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monitored quantum circuits onto statistical-mechanics models and characterize the transitions that govern information protection – from encoding and decoding transitions to error-correction thresholds and
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electronics supporting E/O and O/E conversion (laser/modulator drivers, TIAs, signal conditioning), together with peripheral power and digital control circuits; Develop PCB evaluation/test boards that enable
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appetitive conditioning, and intracranial methods for probing reward circuits. The cluster hire described in this announcement extends these strengths into an integrated research program on the neural
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hardware prototypes. Collaborate with interdisciplinary research teams spanning artificial intelligence, circuit design, computer architecture, and embedded systems engineering.