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preferably adopt a systems-level approach and make use of high-throughput methodologies. Effective application of advanced machine learning analysis and data integration approaches, potentially through
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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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of created wetlands across the whole Schelde river basin. You will work on field sampling, lab analysis, data processing, the writing of scientific publications, and preparation of a PhD thesis, with the final
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practices, and relevant regulatory landscapes. Familiarity with asset management, risk analysis, incident handling, and security operations. Experience in creating or improving security policies, procedures
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required Experience with clinical trials Experience with data analysis Experience with RedCAP Experience with large-scale data, such as genomics and transcriptomics data Programming experience, preferably in
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, and the experts consult, train, and collaborate with users on experimental design, image acquisition, and image analysis. The focus of the responsibilities of the new Technician is to provide advanced
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a related field, please describe and highlight your experience doing language-focused/linguistic analysis, such as discourse analysis, in your motivation letter and CV. You have a strong academic
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: Benchmark analysis of the Training & Conferences Program Coordinate the development of dashboards for reporting and evaluation results. Setup will be done in collaboration with VIB ICT team Consultation with
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Excellent communication skills in English Desirable but not required Skills in phytoplankton genetic engineering Hands-on experience with high resolution mass spectrometers and/or data analysis Programming
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-regulatory network analysis approaches, developed and employed in the Malysheva Lab, are required to reveal these mechanisms. With the proposed project we aim to bridge this gap in our knowledge of cis