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and next generation sequencing data. Graphical output of data analysis for publication demonstrated experience in statistical analysis and designing computational methods and tools, including prior
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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pressure Desired Practical experience in cell culture Practical experience in chemical analysis Experience in statistical analysis and programming languages, especially R What we can offer you Trust-based
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experience in chemical analysis Experience in statistical analysis and programming languages, especially R What we can offer you Trust-based working hours 30 days’ annual leave (5-day week) plus 24 and 31
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HPLC-MS, GC-MS experience in the extraction of natural compounds from complex matrices knowledge of the isolation and structural elucidation of natural products experience in the statistical analysis
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microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the
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, carbohydrate-active enzymes, polymer chemistry, spectroscopic methods, material science, 3D-printing, statistical physics and molecular dynamic simulations, formulation technologies. Excellent communication
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researchers from different disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills. You fit to us: If you have a strong interest in plant physiology
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journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field A solid background
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excellent communication skills and will to collaborate with researchers from different disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills