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, AISTATS). Theoretical Rigor: A deep understanding of reinforcement learning foundations, with the ability to perform convergence and finite-sample analysis of complex, non-linear continuous control
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, and a waitlist control condition. Data will be collected by the time the postdoctoral researcher starts, allowing the researcher to focus on analysis, writing, and publication. The position is suited
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pipelines. Key Responsibilities In JIP2-SOA23, standardize the use of analysis tools for the mapping, annotation and analysis of whole genome sequences of hosts (e.g. cattle, pig) and pathogens (e.g. viral
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of inorganic and coordination compounds, including discrete complexes and related systems, using methods such as X-ray diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and
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pipelines. Key Responsibilities In JIP2-SOA23, standardize the use of analysis tools for the mapping, annotation and analysis of whole genome sequences of hosts (e.g. cattle, pig) and pathogens (e.g. viral
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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with sustainability assessment methods, including life cycle assessment and related modelling approaches, and you have applied these in cases and analysis related to biobased products and the bioeconomy
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others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent frameworks). Hands-on experience with data representation and embeddings, ideally applied
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: You have experience and active interest in data analysis register data programming (e.g., in R) Place of employment The place of employment is at the Section of Biostatistics, Department of Public
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strategies across Denmark, which includes but not limited to nitrification inhibitors and other fertilizer management strategies. A key part of this work will be performing uncertainty analysis and model