Winter Semester 26/27
NGS Datenanalyse: This intensive practical course is jointly organised by the Professorship of Computational Plant Biology and the Professorship of Plant Epigenomics led by Prof. Dr. Frank Johannes.
Research Internship Computational Plant Genomics: A research internship for students of Biology, Agricultural Biosciences, and Molecular Biotechnology, usually conducted with one-on-one supervision in our facilities. The scope is approximately 110 - 120 hours and is typically completed part-time over a period of 6–8 weeks. There is currently a waiting list for this internship.
Research Internship for Bachelor Students of Bioinformatics (Computational Plant Biology): In this compulsory module for bachelor students in Bioinformatics, students complete their practical project in bioinformatics within our research group. They gain insight into current bioinformatics questions in the field of plant genomics and acquire hands-on experience in scientific work within a research-oriented environment. The module IN2294 is part of the compulsory curriculum of the Bachelor’s programme in Bioinformatics.
Summer Semester 2026
Advanced Bioinformatics (IN2399): Prof. Kamal is involved in the compulsory Bachelor's course in Bioinformatics.
Genetics and Genomics: Prof. Kamal contributes to this module for Master's students in Agricultural Biosciences and Molecular Biotechnology.
Fundamentals of Computational Data Analysis and Bioinformatics for Plant Transcriptomics and RNA-seq : in this course students work in small teams over the course of the semester on a project to gain hands-on experience in bioinformatics and computational data analysis. The goal is to develop essential skills through the analysis of a real-world project and to engage deeply with the bioinformatic evaluation of plant transcriptome and RNA-seq data.
NGS Datenanalyse: This intensive practical course is jointly organised by the Professorship of Computational Plant Biology and the Professorship of Plant Epigenomics led by Prof. Dr. Frank Johannes.
Research Internship Computational Plant Genomics: A research internship for students of Biology, Agricultural Biosciences, and Molecular Biotechnology, usually conducted with one-on-one supervision in our facilities. The scope is approximately 110 - 120 hours and is typically completed part-time over a period of 6–8 weeks. There is currently a waiting list for this internship.
Practical Bioinformatics Project for Bachelor Students (Computational Plant Biology): In this compulsory module for bachelor students in Bioinformatics, students complete their practical project in bioinformatics within our research group. They gain insight into current bioinformatics questions in the field of plant genomics and acquire hands-on experience in scientific work within a research-oriented environment. The module IN2294 is part of the compulsory curriculum of the Bachelor’s programme in Bioinformatics.
Winter Semester 25/26
Fundamentals of Computational Data Analysis and Bioinformatics for Plant Transcriptomics and RNA-seq : In this course, students work in small teams over the course of the semester on a project to gain practical experience in bioinformatics and computational data analysis. The goal is to acquire the necessary skills through the hands-on analysis of a real project and to engage deeply with the bioinformatic evaluation of plant transcriptomics and RNA-seq data.
Crop Genomics : Lecture with integrated practical sessions on plant genomics research. CPB contributes to the transcriptomics section.
Research Internship Computational Plant Genomics: A research internship for students of Biology, Agricultural Biosciences, and Molecular Biotechnology, usually conducted with one-on-one supervision in our facilities. The scope is approximately 110 - 120 hours and is typically completed part-time over a period of 6–8 weeks. There is currently a waiting list for this internship.
Research Internship for Bachelor Students of Bioinformatics (Computational Plant Biology): In this compulsory module for bachelor students in Bioinformatics, students complete their practical project in bioinformatics within our research group. They gain insight into current bioinformatics questions in the field of plant genomics and acquire hands-on experience in scientific work within a research-oriented environment. The module IN2294 is part of the compulsory curriculum of the Bachelor’s programme in Bioinformatics.
Hot Topics in Life Sciences: Discussion event on various current topics in the life sciences.
Summer Semester 2025
Advanced Bioinformatics (IN2399): Prof. Kamal is involved in the compulsory Bachelor's course in Bioinformatics.
Genetics and Genomics: Prof. Kamal contributes to this module for Master's students in Agricultural Biosciences and Molecular Biotechnology.
Fundamentals of Computational Data Analysis and Bioinformatics for Plant Transcriptomics and RNA-seq : in this course students work in small teams over the course of the semester on a project to gain hands-on experience in bioinformatics and computational data analysis. The goal is to develop essential skills through the analysis of a real-world project and to engage deeply with the bioinformatic evaluation of plant transcriptome and RNA-seq data.
NGS Datenanalyse: CPB participates in this intensive practical course on the analysis of sequencing data.
Research Internship Computational Plant Genomics: A research internship for students of Biology, Agricultural Biosciences, and Molecular Biotechnology, usually conducted with one-on-one supervision in our facilities. The scope is approximately 110 - 120 hours and is typically completed part-time over a period of 6–8 weeks. There is currently a waiting list for this internship.
Winter Semester 24/25
Fundamentals of Computational Data Analysis and Bioinformatics for Plant Transcriptomics and RNA-seq : In this course, students work in small teams over the course of the semester on a project to gain practical experience in bioinformatics and computational data analysis. The goal is to acquire the necessary skills through the hands-on analysis of a real project and to engage deeply with the bioinformatic evaluation of plant transcriptomics and RNA-seq data.
Crop Genomics : Lecture with integrated practical sessions on plant genomics research. CPB contributes to the transcriptomics section.
NGS Datenanalyse: CPB is involved in this intensive course focused on the analysis of sequencing data.