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their differentiation, using epimutations and single cell DNA methylation readouts (see biorxiv preprint ). The student will further develop the application of this method to human blood- ansd bone marrow samples and in
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Gene Regulation You are fluent in English Desirable but not required/ Nice to have Computational Biology Skills Experience with RNA analysis Education and training You hold a BSc or master's in molecular
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and efficiency. Key Responsibilities: Develop and implement novel machine learning algorithms for protein sequence annotation. Design and train encoder-decoder language models tailored to protein
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data. To this end, we develop mathematical and computational approaches to estimate mutation rates, tumor growth dynamics and selection. Analysis of the mutational processes acting in cancer genomes
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discipling within the European Higher Education System (minimum 300 ECTS) or equivalent by October 2024 You are fluent in English Desirable but not required/ Nice to have Computational Biology Skills
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bioinformatic tools Desirable but not required/ Nice to have Familiarity with deep learning methods/ protein language models Education and training A master's degree (or equivalent) (or equivalent) in
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on mutation influx and in how we can identify cancer driver events from observed mutation data. To this end, we develop mathematical and computational approaches to estimate mutation rates, tumor growth
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that underlie the adaptation of molecular systems in cells exposed to climate change. The student will contribute to develop an image analysis pipeline that extracts quantitative measurements from Single Molecule
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peptides potentially involved in developmental and stress processes, using Arabidopsis and pea as our experimental systems, to eventually develop peptides as a tool for sustainable agriculture
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develop knowledge graphs for data-driven decision-making to rationally design microbial communities for imparting desirable characteristics to plant-based fermented foods in the context of open science and