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Field
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OmniTrap MS Curate high-quality MS/MS datasets and perform detailed fragment ion interpretation Collaborate with computational researchers on downstream data interpretation and methodological refinement
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: The successful candidate will be expected to: Carry out high-quality research under the supervision of our experienced faculty members. Participate in the development of theories, and perform numerical simulations
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academic partners. Qualifications Ph.D. in communications engineering, computer science/engineering, or related fields. Sound publication record in high-impact conferences/journals. Experience in working as
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multidisciplinary team of scientists and High Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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(e.g., Biological Focal Region), inventing the world's first extracorporeal focused ultrasound ablation system ("HIFU"), and performing the world's first treatments for 12 diseases. Our devices have
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Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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Posted on Mon, 11/24/2025 - 13:32 Important Info Faculty Sponsor First name: Maria Faculty Sponsor Last Name: Polyakova Stanford Departments and Centers: Health Policy Postdoc Appointment Term: One
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effectively through manuscripts, presentations, and reports, contributing to high-impact publications; Anticipating, communicating, and solving potential challenges in data integration, model performance, and
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc position in development of protocols for isolation of high performing microbial strains for sustainable