510 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" "UNIV" positions in Belgium
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procedures, you will also operate robotic devices, such as automated liquid dispensers, robotic arms… You summarize analyses and interpret data in order to draw conclusions from it You will follow general lab
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-Pietersnieuwstraat 35, 9000 Gent, Belgium. Analysing data on wild fauna and flora in their proper ecological and historical context. Publishing the research results in international peer reviewed journals, single
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in close partnership with the five universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes
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information about our salary scales All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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; further training and skill development will take place during the PhD: Experience in computational data analysis and quantitative modelling (e.g. in R). Experience in one or more of the following laboratory
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, grades, skills, publications, …) 2) contact information of two references 3) a strong motivation letter 4) a weblink to a short video introducing yourself. Your application will only be considered if all
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approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal
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neurodegeneration both within as well as across -omics modalities, leveraging both in house as well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project
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working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in extensive collaborative (interdisciplinary