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, working closely with neuroscientists and biologists to develop and support custom hardware systems for behavioral and neurophysiological experiments in fruit flies. The position will entail providing
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environment. Opportunities for authorship on scientific publications. Direct mentorship and formalized professional development support. Conference participation, including attendance at national and internal
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approach to examine odor detection and perception in insects, from the molecular basis for odorant detection to the neural and behavioral algorithms underlying olfactory plume navigation. One focus
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to Janelia from the Washington D.C. metro area. What you’ll do: Lead the engineering architecture and development of next-generation FlyMAX systems, integrating robotics, computer vision, and AI-driven control
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across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will develop and deploy a self-supervised pre-training
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develop algorithms that align image level embeddings across modalities (e.g., fluorescence ↔ electron microscopy ↔ brightfield ↔ …). In collaboration with other engineers and scientists, you will use
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engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue