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populations. The main techniques used in this project include flow cytometry, (immuno)histochemistry, “omics” analyses, cardiovascular phenotyping in mice, as well as standard molecular biology methods. Working
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, Interpreting and Communication). Your main tasks will include: Studying state-of-the-art techniques and benchmarks in the domain of (multi-modal) conversation modelling, both from the NLP perspective, and from
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, Interpreting and Communication). Your main tasks will include: Studying state-of-the-art techniques and benchmarks in the domain of (multi-modal) conversation modelling, both from the NLP perspective, and from
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quality. At a larger scale, this project is situated within the context of the Flanders AI Research Program, allowing the candidate to interact with fellow researchers throughout Flanders. Your main tasks
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the starting date, i.e., a few months after application) a master's degree in Statistics, or Mathematics, Physics, Computer Science, Engineering (each with a strong statistics or data science component), or
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be able to interact with many fellow PhD students and industry stakeholders throughout Flanders. Your main tasks include: Reviewing literature on efficient deep neural network methods, adaptive
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should have a master’s degree in medicine, psychology, biomedical sciences, biomedical engineering or neuroscience (or another relevant Master degree) and experience with and/or a strong interest in the
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for candidates with a critical and analytical attitude and a sense of initiative. Other profile requirements: You hold a master's degree in environmental engineering, bioscience engineering, chemical engineering
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Master degree in microbiology, biotechnology, bioscience engineering or equivalent, completed before the start date of the position, with excellent grades. Scientific knowledge and skills Knowledge of bio
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and consist of the following: 1. A motivation letter 2. A curriculum vitae 3. Copies of the relevant diplomas 4. Grade lists (transcript of records of Bachelor and Master courses) 5. Optionally: a