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: motivation letter describing your previous research experience your CV contact information of at least 2 references For further information and questions, please email Esther Klingler (Esther.Klingler@vib.be).
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. Applications will be accepted until the position is filled. Job profile The successful candidate will train recurrent neural networks to learn the generative structure of existing behavioral, EEG and MEG data
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Job description The job involves formal semantic and pragmatic modeling of Information Structure-related phenomena from a diachronic perspective. Information Structure-related phenomena are to be
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summary of past research activities (particularly in your PhD project) • a letter describing your fascination for the topic and the Goossens/De Mey labs • the contact information of two referees The first
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, and brain computer interface tasks. This project will support our goal of testing the Controllosphere Theory of cognitive effort (see doi 10.1037/rev0000467). A Ph.D. and background in computational
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experience with FLIM (performing experiments, data analysis, e.g. with FLUTE, Flimfit, SPCImage, or napari) and/or next generation sequencing data-analysis and ability to code are considered an advantage. You
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international mobility You have a solid foundation in electrophysiology and neurophysiological data analysis utilizing Python or MATLAB software. Experienced with electrophysiological recording using multi
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computing clusters and analysis of transcriptomics and genomics datasets. Desirable Requirements Experience in single-cell and spatial OMICS data analysis. Development of ShinyApps and
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