1,085 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköping-University" Postdoctoral positions in United States
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& Technical Development This position focuses on the technical development of FLDT. The postdoc will help develop, build, and maintain a suite of geospatial tools and data infrastructure that support large
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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
to the ISAAC data repository by generating AI-ready physical descriptors and advancing data-driven understanding of dynamic catalytic processes. Responsibilities include : Identifying relevant user systems and
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focus on data collected with in-situ AUV systems and airborne, water-penetrating LiDAR systems. Specifically, the postdoc will partner with both biological oceanographers (Matthew Oliver, Jon Cohen) from
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cellular immunotherapy, molecular cloning, and data analysis, with a strong interest in developing innovative cancer treatments. Job Duties Designs and executes experiments involving CAR T-cell engineering
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: FAES
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate, under general supervision, conducts lab experiments, analyzes and communicates data in the form
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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external) is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that