Genomics, Transcriptomics, Proteomics, Metabolomics, Connectomics and all other large scale data generating technologies are putting PhD students in front of a deep challenge. How to analyze large scale data and more importantly how to think in terms of large scale data will become an everyday task for next generation biologists. There is an urgent need for training future researchers to think differently and be prepared for their future challenges.
The StarOmics Doctoral Program is covering quantitative aspects of modern biology and integrating novel biological strategies and reasoning.
Students of this program will be offered training, workshops, and seminars in genome-wide and proteome-wide data analysis, biological modeling, quantitative image analysis, programming and statistics, in addition to a thorough education in experimental biology, through a didactic program that complements both their individual research topic and background. In addition several events will be organized (annual retreat, mini-symposia, soft skills courses) to complement and socialize the students and professors either within this program or jointly with the federation of doctoral programs of the CUSO (Ecology & Evolution, Plant Sciences, and Microbiology).
PhD students of this program will become conversant in both experimental and computational approaches and acquire the ability to integrate quantitative and experimental methods in their own research. Graduates from this program will have unprecedented scientific competence to permit them to become future leaders in biological research and beyond.
The students will not receive ECTS credits from the StarOmics doctoral program but an attestation to get ECTS credits in their own university.
More information on: https://biologie.cuso.ch/staromics/welcome