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Field
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-scale in vivo perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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and unmanned aerial vehicle development, in particular electronic hardware design and embedded system development. - Comprehension of common machine learning algorithms and image analysis
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perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental
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units that transmit force along a real musculoskeletal path ( Science Advances, 2025 ), embedded sensors directly into muscle for closed-loop control of proprioceptive biohybrid robots ( Advanced
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prototyping, and Python programming would be beneficial; Experience with embedded system development, particularly programming MSP430 microcontrollers in C, is also preferred; Familiarity with NASA
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decision making using quantum probability, open-system dynamics, and classical Markov processes. Derive and test behavioral predictions that distinguish quantum, classical, and intermediate open
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embedded in the vibrant Society & Networks research area , with 8 faculty members and around 30 students and postdocs. Your experience and background Requirements for postdoc applicants: Ph.D. in
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validation of power electronic hardware (e.g., DC/DC converters, high-power systems, and electric vehicle applications). Experience with laboratory experimentation, hardware prototyping, system
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postdoctoral position. Join our community and help shape the future of biomedicine. Our lab investigates how the nervous system shapes tissue immunity, inflammation, and cancer. Peripheral neurons are
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how neural circuits in the motor system of the fly, Drosophila melanogaster , orchestrate limb movements and autonomous behavior in complex environments. Specifically, we are looking for Postdoctoral