46 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" positions at University of Antwerp
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background in AI/ML, preferably with hands-on experience in deep generative models (e.g., VAEs, GANs, diffusion models, transformers). Solid programming skills in Python, including familiarity with TensorFlow
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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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you obtain. The courses you will teach may include ‘Construction 1 & 2’ in the Bachelor Programme as well as ‘Advanced Construction’ and a research seminar in the Master Programme. Next to your teaching
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Development Manager with a strong background in life sciences commercialization and partnerships with pharma, biotech, and CRO companies on a global scale. The business plan for the Mucin RNA Isoform-based
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strong background in shape modelling, deep generative modelling (diffusion/transformers), or multimodal representation learning. You have strong programming skills, especially in Python, and preferably
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the project proposal you plan to develop in maximally two pages. The topic should involve innovative research on the functional morphology of organisms via dynamic X-ray imaging. The document includes
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role in developing activating, student-centred and competence-driven programme components and study programmes. You will supervise students and their Bachelor and Master dissertations. Research You will
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programme at the Antwerp Doctoral School to support your PhD pathway. You will present the findings of your PhD research at academic conferences and you will publish them in scientific journals. Education
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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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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