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, the University of Antwerp is recruiting 2 Doctoral Candidates to carry out research in: (1) experiments of plasma-based CH4 conversion in microwave, gliding arc and/or arc plasmas, comparing their performance
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, (bio)statistics, bioengineering, computer science, related disciplines or equivalent through experience Proficient in verbal and written English. Ability to summarize data extracted from literature and
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talented and curious individual with: A Master’s degree in immunology, neuroscience, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental
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machine learning. Strong proficiency with R/Python and machine learning frameworks (e.g., PyTorch, TensorFlow). Prior experience with workflow management tools (e.g., Snakemake, Nextflow). Familiarity with
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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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. Strong interest in immunology and neurodegeneration; experience with human samples and/or immunophenotyping tools is a plus (eg flow cytometry) Comfortable working at the clinic–lab interface; excellent
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, bioengineering, or related field, with excellent study results. Strong interest in immunology and neurodegeneration; experience with human samples and/or immunophenotyping tools is a plus (eg flow cytometry
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degree in biomedical sciences or related life science discipline We are looking for candidates with hands-on experience or a strong interest in spectral imaging techniques, confocal microscopy, and
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experience with TEI-XML (extensible markup language) and other skills in digital scholarly editing, or are willing to learn these skills. What we offer We offer a full-time contract as a senior researcher for
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English and also express yourself in Dutch. You are a team player. You have experience with TEI-XML (extensible markup language) and other skills in digital scholarly editing, or are willing to learn