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Field
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://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
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. •Establish an individual development plan (IDP) that incorporates equally the postdoc's career and training goals and the mentor's research goals. •Pursue basic, clinical, or translational projects so long as
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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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editing domains and characterizing cellular interacting partners. In addition to working on their own projects, the candidate will work with graduate students on related projects. The candidate will be
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frameworks, produce pan-European maps of carbon storage potential, and contribute to interactive visualisation and dissemination of results tailored to stakeholder needs. Your key responsibilities include
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candidate will interact extensively with the PI, graduate and undergraduate students. Job Duties: 35 % experiment design and execution 35 % research 30% presenting and writing about research Other duties of a
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collection and analysis. There will be scope to contribute to the design of visual or interactive outputs (such as infographics or dashboards) and shape the development of a future larger-scale cohort study