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Apply Now Responsibilities* Conduct research focused on designing and implementing algorithms related to cryo-electron microscopy (cryo-EM) data collection in a lab that focuses on the structural
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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and intermediate level, with a focus on programming control, perception, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion
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* Technical development of control algorithms Analysis of large-scale datasets, applying control theory, developing real-time control software Validation and characterization of the developed control algorithms
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focuses on advances in machine learning and its application to causal inference and prediction via Targeted Learning, which allows the use of machine learning algorithms for prediction and estimating so
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computational tools and algorithms developed in the lab for processing and visualizing proteomics data (known as FragPipe computational platform). The individual will work in close collaboration with other
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and algorithms in the lab for processing and visualizing proteomics data using the FragPipe and FragPipe-Analyst platforms. The successful candidate will collaborate closely with other lab members
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research projects, including: carrying out statistical and bioinformatics analyses, implementing algorithms for genomic analyses, developing computational workflows, and building visualization tools. As part
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Apply Now Job Summary The Student Research Assistant will support a faculty-led research project examining how algorithmic bias affects social equity in areas such as healthcare, hiring, and
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propulsion Experience in digitalization of ship designs and computational methods PhD in Naval Architecture and Marine Engineering Demonstrated ability to work independently and manage multiple projects