18 parallel-processing-bioinformatics-"https:" PhD positions at University of Antwerp
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processing. The position is within the Cosys-Lab research group, under supervision of prof. Jan Steckel and prof. Walter Daems. Position You will work actively on the preparation and defence of a PhD thesis
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, enthusiastic, and creative individual to join our team. The candidate should have a strong interest in biostatistics and genetics. Essential: Master’s Degree in biochemistry, biomedical sciences, bioinformatics
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disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics
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)Medical Sciences within the interfacultary research group Cell Biology and Histology (CBH: https://www.uantwerpen.be/en/research-groups/celw/ ) with the goal to investigate the synergic effect
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. Position The position includes the following tasks: Bioinformatics Pipeline Development: Design, build, and maintain a robust, scalable bioinformatics pipeline for ONT long-read sequencing data preprocessing
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will investigate the isolation and bioproduction potential of specialised N₂-fixing purple phototrophic bacteria (PPB). You will systematically study how process conditions affect PPB growth, composition
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immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore
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the digitisation process. You will work closely with the project’s Research Software Engineer and provide material for the digital edition of Woolf’s library according to the project’s schedule. You are prepared
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the application deadline. As soon as a decision is made, we will notify you. If you are still eligible after the pre-selection, you will be informed about the possible next step(s) in the selection procedure
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the remarkable spatial perception of bats. By leveraging array signal processing to synthesize morphology-induced HRTFs without physical replicas, the project offers a flexible, high-fidelity and scalable approach