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are seeking a highly motivated PhD student to join a collaborative project focused on developing genetic risk scores as biomarkers for neurological disorders. The Rademakers lab leads cutting-edge research
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). You have followed courses in Learner Corpus Research and/or Second Language Acquisition in your academic programme and as testified in your academic transcript. You are comfortable working with digital
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industrial Ph.D. position focused on developing scalable, Machine Learning (ML) pipelines for genomic and epigenomic biomarker discovery from Oxford Nanopore Technologies (ONT) long-read sequencing data
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the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative
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developing the technologies that are needed to enable the large deployment of CO2 electrolyzers on the market. More specifically, you will devise strategies for mitigating salt precipitation via innovative
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, and affords final target products in one step. Research challenges are to prevent undesired H2 evolution as a side reaction, and to achieve selective e-hydrogenation of substrates that tend to give
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is to develop RL controllers that can learn from data while guaranteeing stable and safe operation in complex, nonlinear systems such as chemical plants and energy processes. By validating the approach
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the preparation and defence of a PhD thesis focusing on the analysis of extreme events using deep learning methods. Your responsibilities will include developing deep learning-based methods for modeling extreme
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of electrochemistry and electrochemical engineering. Its scientific activities are related to the development of state-of-the-art electrochemical reactors and batteries, striving towards a green and sustainable
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the Department of Chemistry at the University of Antwerp. The Vroemans group specializes in designing, synthesizing, and applying organic molecules for the development of organic materials for sustainable