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. The team uses innovative large datasets and applies rigorous empirical methods to estimate causal effects. The successful candidate(s) will be part of the PhD programme of the Department of Management
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, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model experiments using CESM2
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Postdoc position on ultra-long read sequencing for animal epigenomics, transcriptomics, and genomics
sequencing A Curriculum vitae including a list of publications, complete academic record, and copies of Bachelor's, Master's and PhD degrees Names and contact information of two references Please note that we
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in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry
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in: Collection of large scale administrative and survey data Managing, cleaning, and creating raw data sets Managing and coordinating two large-scale projects with a large research team and various
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to project future forest responses to global change drivers. Job description Compilation of existing, large data sets across Europe Identification of forest resistance and resilience to deposition and climate
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to DNA damage and mutagenesis, microbial metabolism of chemicals, and precision medicine. Profile You have experience in the evaluation and visualization of diverse large data sources for characterizing
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exploring new phenomena in quantum nonlinear optics. Project background Realizing the promise of quantum technologies hinges on our ability to efficiently connect and transfer information across different
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strategies to design pulse sequences for high-resolution solid-state NMR under magic-angle spinning and static DNP in close collaboration with two PhD students working on these topics. The efficiency
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networks of living neurons, and interact with them using microelectrode arrays. This provides us with a large amount of highly reproducible data that can be used to validate computational models. Job