Scientific courses
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Advanced Organic Chemistry
- Advanced course for PhD candidates with a solid background and interest in Organic Chemistry, who are intrinsically motivated to develop an advanced understanding of modern organic chemistry and gain insight into reaction mechanisms and the underlying concepts. -
Intestinal microbiome of humans and animals
- 5th edition
This course aims to provide a detailed scientific background on the mechanisms that underlie the role of the microbiome in human and animal nutrition and health. The program combines knowledge on microbial composition and function with dietary factors and health aspects in humans, laboratory and farm animals. -
Big Data Analysis in the Life Sciences
- Technological and scientific advances have pushed the Life sciences into the BIG data era. The increased volume and heterogeneity of available data challenges scientists to master techniques for comprehensive data analysis. Extracting meaningful (biological) information from large datasets is increasingly becoming a challenge in all fields of life sciences. Thus, the ability to select and deploy analysis tools and algorithms has become an indispensable skill for all researchers. In this course, we aim to introduce participants to techniques for comprehensive data analysis of large, heterogeneous datasets and extract relevant information for elucidating biological design principles. The course is modular and focuses on data generation, mining, analysis, data integration, and visualization. -
Dairy protein biochemistry and proteomics
- Within this masterclass, you will learn about the specific features of the two main classes of dairy proteins, whey proteins and caseins. You will gain insight into the different analytical methodologies that exist to characterize dairy proteins, their variations and molecular features, like modifications. Finally, you will gain quantitative insight into the nutritional quality of dairy proteins in the human diet. -
15th International Postgraduate Course on the Production and Use of Food Composition Data in Nutrition
- How to produce, manage and use good quality food composition data in a standardized way.