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. Digital Extraction from Historical Taxonomic Literature Application of OCR and machine learning algorithms to digitize printed and handwritten documents; Linking specimen mentions in literature to digital
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. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic
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theoretical background for MIMO related research, and have attended courses such as Information Theory, Signal and Systems, Modulation and Detection. Experience with OFDM or single carrier baseband algorithms
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achievements Research fields and interests, including: A full list of publications (attach as separate document) Indicate three most significant publications with an asterisk, and list impact factor and
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the genetic and molecular basis of adaptation. Recently, our research group developed a groundbreaking CRISPR/Cas9 method called SYNCAS (https://doi.org/10.1016/j.ibmb.2023.104068 ), which enables efficient
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disease is highly variable, even within the same family, making it difficult to predict the course of disease, provide accurate genetic counselling, or design effective therapies. This PhD project aims
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Job description The Ectopic Mineralization Research Group (EMRg) within the Center for Medical Genetics at Ghent University Hospital has a vacancy available for a PhD fellowship on the following