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will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
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ascertained deep phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in
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the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and
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publication record with multiple first-author papers at premier venues (CVPR, ICCV, ECCV, BMVC, NeurIPS, ICLR, PAMI, IJCV) within the past 3 years Deep expertise in video understanding, including current state
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. The project will be carried out in a stimulating biology- and molecular medicine-oriented research environment shared with multiple principal investigators capable of attracting several important international
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. They will be expected to conduct empirical analyses in Python and/or R, use impeccable data management procedures that can be easily replicable, contribute to research strategy and results reporting
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multiple imaging modalities—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old
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address next-generation HEP and NP detector challenges. The postdoctoral appointee will collaborate closely with leading scientists across multiple divisions at Argonne. Key Responsibilities Elicit and
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biology, or similar field Experience analysing medical images and working with data Strong programming skills in R or Python Good communication skills and ability to work in a team Ideally, you would also
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development for 3D characterization of crystal shapes: - An existing thermal-optical-microscopy stage should be modified/improved allowing observation of the crystals along multiple axes, and thus the 3D