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suite (Modeller of Allelic Gene Expression) which circumvents these problems by explicit allele-specific statistical modelling of RNA-seq data (or similar) at the population level. The candidate will
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in Bioinformatics, Bioscience Engineering, Biochemistry and Biotechnology, Statistical Data Analysis, Biomedical Sciences or similar (or will have this degree at the beginning of the project) Occupancy
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Computational Linguistics (Natural Language Processing) and Machine Learning. You have excellent programming skills (at least Python and statistical packages such as R). You have achieved outstanding academic
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both experimental lab work (spectrometry, chromatography, mechanical food analysis) and biometrics (statistics and data analysis) in order to correlate non-invasive data with mechanical and chemical
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sufficient to communicate effectively with colleagues. You are prepared to work in Ghent (Belgium). Having excellent statistical skills are considered an asset. How to apply Please submit applications
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proficiency in English sufficient to communicate effectively with colleagues. You are prepared to work in Ghent (Belgium). Having excellent statistical skills are considered an asset. How to apply Please submit
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well as evolutionary genomic analyses. Basic knowledge of programming/scripting and statistics is required. Fluent English and good communication skills, oral and in writing, are essential. How to apply We offer a 4
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)-GC-MS. Experience with online mass spectrometry for the analysis of VOCs (SIFT, PTR-HRMS) is a plus. Knowledge and experience in programming (e.g., R, MATLAB) and statistics Having an excellent
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)-GC-MS. Experience with online mass spectrometry for the analysis of VOCs (SIFT, PTR-HRMS) is a plus. Knowledge and experience in programming (e.g., R, MATLAB) and statistics Having an excellent
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(spectrometry, chromatography, mechanical food analysis) and biometrics (statistics and data analysis) in order to correlate non-invasive data with mechanical and chemical analytic data You publish your research