Topic: hardware

The researcher will define original computer-vision research directions, develop algorithms that generalize across diverse data and hardware, publish results and collaborate with engineering teams on production systems. The role emphasizes scientific rigor, reproducibility and the practical problems encountered by computer-vision users. Candidates need a master’s degree, PhD or equivalent experience, a publication record and a strong command of machine-learning theory. The employer supports remote work and collaboration at its hubs. The advertised base salary is US$168,000–255,000 depending on

Develop non-invasive neurotechnology based on focused ultrasound and targeted drug delivery. Projects may combine hardware and software, MRI-guided targeting, electrophysiology, closed-loop neuromodulation and preclinical experiments, with collaboration on clinical translation.