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explicit model of the biophysical effect of land use change, a machine learning emulation of dynamic global vegetation models. Both activities aim to improve understanding and quantification of the effects
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Learning Contexts TLTED 5005 - Equity, Diversity, and Justice in Education TLTED 5108 - Teaching and Learning of Mathematics in Grades Pre-K - 5 MATH 1050 - Precollege Mathematics I MATH 1075 - Precollege
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. The interests of LABS are to develop and apply statistical, machine learning, and artificial intelligence (AI/ML) methodologies to "big data" in multi-omics and medical data for aging and diseases, such as
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‑on experience with common machine learning / deep learning frameworks (eg. PyTorch or JAX) applied to biological or structural data. Solid Python programming skills, with experience building maintainable and
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presentations, and the drafting of the dissertation. The program's primary goal is to prepare candidates for a career in international academe. For further information about the PhD program, please visit https
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. · Efficient algorithms for emulation of quantum computing and networking. · Developing and applying machine learning algorithms to optimize quantum computing and networking. · Quantum sensing
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Back to Overview Research Assistant / PhD Student (m/f/d), Machine learning chiral molecules, 75%Full PhD Working LanguageGerman, English LocationKassel Application Deadline20 Feb 2026 Starting
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, earth or energy. Learn more at www.hds-lee.de . Institute specific promise here. We are looking to recruit a PhD position – Co-regulation structures for large-scale single-cell transcriptomics – within
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project “Analytics for Learning with Machines” (ALMA) The position is TV-L E13, 75%, limited to 3 years, funded by the Deutsche Forschungsgemeinschaft (DFG). The project is a Franco-German collaboration
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(specializing in Strategic Management: https://strategy.univie.ac.at/phd/ ) envisaged starting date: 15 June 2026 (for a total duration of 4 years; Initially limited to 1.5 years, the employment relationship is