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pattern analysis, or decoding methods to neuroimaging data. Experience with fMRI and/or fNIRS analysis, particularly multivariate or representational approaches. Experience developing or working with real
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: A motivation letter submitted through the designated form A scientific CV highlighting how your past experience and achievements are relevant to this position. Ideally, contact details for at least
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Engineering The aim of this project is to create a scalable and transferable blueprint for digital pre-laboratory training resources, co-created with learners and new laboratory users. These resources will
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: relevant experience may be evidenced through publications, applications and systems developed, and the research topic of the candidate’s Master’s or PhD project (1 PDF file). Apply via the form: https
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. Required Qualifications Experience working with digital logic concepts and circuits. Knowledge of full adders, ripple carry adders, and related digital design principles. Ability to analyze and evaluate
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, AFM, ellipsometry, or TEM will be considered an asset. The successful candidate should also demonstrate: - strong experimental skills; - the ability to independently design and conduct experiments
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determining the molecular weight and degree of polymerization of biopolymers (punctuation: 20) Item 05: Experience in the design and implementation of polymer separation methods (punctuation: 20) Additional
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full benefits How to apply Please submit your application using the online form (https://jobs.vib.be/apply/137658 ). Your application should include: A motivation letter submitted through the designated
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modelling, numerical development and the analysis of physical phenomena. In particular, they will be involved in designing models suited to the systems under study, their numerical implementation, and the
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team of outstanding researchers in cloud compute architecture design and event-triggered computing to work with us on realising SONNETS' ambitious objectives. Researchers on our team contribute towards