Scientific courses
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Microalgae Process Design: from cells to photobioreactors
- This course provides the essential skills for designing optimal microalgae-based production processes, for both research and commercial purposes. -
Healthy and sustainable diets: synergies and trade-offs
- 2nd International Master class to broaden disciplinary thinking in agriculture, food sciences, nutrition and health to arrive at a disciplinary research perspective on healthy and sustainable diets. It aims to contribute to synergy between scientific disciplines, applied research and stakeholders along the food supply chain. -
Microalgae Biorefinery
- Advanced course, 3rd edition, designing optimal microalgae-based biorefineries, from unit operations to the entire process chain, for both research and commercial applications and to be able to address the present bottlenecks in the process chain.
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Stable Isotope Methods in Nutrition Research
- The course will provide advanced understanding of the principles and concepts of different stable isotope techniques in nutrition research. -
Advanced Proteomics
- Proteomics is the study of the proteome, the set of proteins expressed in an organism. The proteome can change dramatically depending on biological conditions. Proteomics is able to capture detailed snapshots of the proteome using mass spectrometry. The rapid development in technical advances of instrumentation has led to new bioinformatics approaches. In this course the focus will be on sample preparation and data analysis. -
Rheology: The do's and don'ts
- Participants will learn how to identify typical material characteristics in rheological data (yield stress, shear thinning, fracture, etc.). -
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. -
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.