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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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a specific water balance component than others. This can make the structure inadequate to be directly transferred to other regions with different physiographic contexts and hydroclimatic regimes
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Job Description As an element of our scientific research activities at the CBS department, we are conducting innovative research on the development of advanced materials for biomass conversion
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material intralogistics handling alternatives such as trolley-assist systems, battery-electric trucks, and in-pit crushing & conveying (IPCC), combining life-cycle analysis, and dynamic simulation
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and
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desalination. He/she should demonstrate experience in membrane processes, water quality analysis, and lab and pilot-scale testing of water treatment and desalination processes. Required qualifications
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sampling, analytical methods such as GC-MS, LC-MS, or other relevant instrumentation. Experience in olfactory system research is highly desirable. Background in experimental design, data analysis
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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, concentration, recovery, or destruction of certain elements. Therefore, the chosen candidate will be expected to contribute to the performance of a wide range of scale-up studies of a magnetic and electromagnetic
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communities in soil environments. Develop and optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil