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For both positions: Conduct innovative, independent research aligned with the lab's mission and the candidate's interests Contribute to the lab's open-source software, datasets, and benchmarks Mentor PhD and
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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to apply Website https://www.academictransfer.com/en/jobs/363280/postdoc-accelerating-the-circul… Requirements Specific Requirements A PhD in any relevant social science or humanities discipline; a proven
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation/. Job Summary Research Duties and Responsibilities Design, conduct, and
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up and maintain experimental workflows by implementing or adapting existing tools. Methods will include advanced flow cytometry, in vitro functional assays for hematopoietic stem cells and immune cells
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of the software to control and analyze the data acquired from the setup Dissemination of research results at project meetings, in peer-reviewed journals and at international conferences Specific Requirements PhD
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the graduate and/or undergraduate level. Profile Essential experience and skills: You have a PhD in in Statistics, Biostatistics, or a similar discipline. You have strong skills in theoretical methods
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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control software development, and the possibility to implement the quantum sensing unit for temperature measurements into a quantum ion trap setup developed at our collaborators site at University