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Field
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the collection, processing, and analysis of physiological data from recreational and elite athletes across various exercise protocols. Utilizing machine learning and deep learning algorithms, integrate multi-modal
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to model different multi-drone coordination problems for applications such as traffic management and last-mile delivery. You will focus on the software and algorithmic elements of multi-drone coordination
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the position, with a research track record on multi-drone coordination, in particular on distributed approaches such as collective and reinforcement learning. You will be excited to model different multi-drone
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things differently – and achieving notable results. We are now seeking an enthusiastic Postdoctoral Research Fellow in Biological Signal Processing to work within a diverse research team under Prof
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recurring theme of doing things differently – and achieving notable results. We are now seeking an enthusiastic Postdoctoral Research Fellow in Biological Signal Processing to work within a diverse research
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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validate predictive algorithms for biomarker discovery Optimize data integration techniques for multi-omics and clinical datasets Perform trend analysis of bacteria-containing samples over time to observe
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The Position We are seeking an independent and motivated researcher for a Postdoctoral Fellowship in Aviv Regev’s lab to apply develop edge algorithms for analysis of single cell genomics profiles
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum