Deep Learning 1
Deep learning is primarily a study of multi-layered neural networks, spanning over a great range of model architectures. We cover the basic following content in theory and in practice. We adapt the content, especially in the last lectures, based on the latest advances: Introduction to deep learning. A brief introduction of deep learning. History, recent
Intro to ML, generative AI, programming in python
Life-long learning: Masterclasses (individual meetings or modules/e-learnings) and a number of short courses
Machine Learning in Bioinformatics
Learning from patterns in molecular biology data plays an important role in diagnosing disease, discovering new targets for therapy, and more generally in answering biological questions that lead to an improved understanding of biological systems with relevance to human health, industry, biotechnology, and agriculture. This course focuses on methodology for the analysis of high-dimensional data
Soil-Plant Relations
Plant roots absorb water and nutrients from the root medium. The bio-availability of these growth factors is determined by a variety of biological, physical and chemical processes and properties. The plant itself affects these processes and soil properties in its rhizosphere. The interactions between the plant and its root environment represent the core of theory
Modelling Functional Diversity in Crop Production
The last century, agriculture has been characterised by control and specialization: monocrops being grown with intensive use of fertilizers and pesticides. But environmental concerns, disease and pest resistance to pesticides and finite availability of resources call for a change in strategy. Diversity both in terms of utilizing different crop species and in combining different ecology-based
Genetic Analysis Trends and Concepts
This advanced course explains the most important genetic concepts to unravel and understand complex biological phenomena. We in detail explain the genetic processes underlying variation and its inheritance and their relevance with respect to evolution. We center our course around three main themes: Mutation, recombination and (epi-)genetic transmission. All three themes are both cause and
Regulation of Plant Development
A unique feature of plants is the fact that environmental factors play a crucial role in their development. In this course, molecular, cell biological, and physiological aspects of plant developmental processes will be discussed. We will cover several conceptual frameworks for the development of plant cell types and organs. The focus will be on how
Germplasm and Seed Technology (online)
This course introduces students to a number of important aspects of plant breeding, such as the process of domestication, germplasm development and the importance of gene banks. Also, important practical aspects on bringing a cultivar to the market are discussed, such as breeders’ rights and patents, and the design of seed and plant production programs.
Tools in Molecular Data Analysis
This course aims to develop practical skills in data handling, analysis and visualization for large “omics” data commonly found in contemporary plant research. Two domain-specific projects will be addressed: i) RNA-seq analysis and ii) Microbiome analysis. For each project, after introductory lectures on the topic, students will be trained to handle these specific datasets. Afterwards,
Moleculaire Celbiologie en Genetica
In deze inleidende cursus biologie worden de algemene principes behandeld die ten grondslag liggen aan het leven op aarde. Alle biologische organismen zijn opgebouwd uit cellen. Cellen zijn de kleinste functionele eenheid van leven en hun eigenschappen worden bepaald door fysische en chemische wetmatigheden. Tussen cellen en de omgeving bestaat een wisselwerking. Cellen nemen signalen