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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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transcriptomics, and large-scale transcriptomic data analysis. In addition, the candidate should have experience in using mouse tools to study conserved mechanisms in mice. Finally, a deep understanding of the
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: The successful candidate will work primarily on the following sections of the project. Data analysis: In conjunction with Dr. Deborah Maia de Lima and Dr. Claudia Mitchell, the candidate will : 1) Transcribe and
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Max Planck Institute for Plant Breeding Research, Köln | Koln, Nordrhein Westfalen | Germany | about 1 month ago
, maintenance and troubleshooting on an Aria Fusion cell sorter Sample preparation, cell sorting and data analysis Generation of single cell libraries with 10X Genomics, Singleron and BD Rhap-sody platforms
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community engagement. In this role, you will: Contribute to research on ecological and spatial data for urban environments: Conducting fieldwork, data collection and analysis related to urban air quality and
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-specific needs, but include: site evaluations or modeling, project coordination, interviews, data collection and/or analysis. Connections to professional practice and to emerging technology and ideas in
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background in solar data analysis or simulations is helpful, but not mandatory. Proficiency in written and spoken English. The employment contract will include a probationary period of six months
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long-term experiments. Your profile The candidate must have a PhD degree in silviculture and/or forest management or a very similar subject. The candidate must have proven experience in data analysis and
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transcriptomics, and large-scale transcriptomic data analysis. In addition, the candidate should have experience in using mouse tools to study conserved mechanisms in mice. Finally, a deep understanding of the
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation