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for data analysis; • demonstratable interest in systems biology and AI-based solutions is an asset for this position; • experience in supporting researchers and education is preferred; • excellent
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by learning and applying cutting-edge molecular biology techniques to address your research questions? Then this job may be for you! The Molecular Plant Pathology group is looking for a PhD candidate
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Innovate : Work alongside a team of experts in RNA biology, genetics, and bioinformatics. You will have the freedom to propose new ideas, lead projects, and contribute to the lab's direction. Professional
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? Your experience and profile You will have: a first master degree or equivalent in computational science, computional biology, computational (bio)physics, applied mathematics, or an allied field; research
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experience and profile You have/are • a Master’s degree in Data Science, Artificial Intelligence, Computational Science, Bioinformatics/Systems biology or similar; • experience in using differential
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molecular biology techniques, to investigate whether and how certain taxa within the microbiome may induce abnormal functional changes in the gut epithelia and the conformation of their residing α-synuclein
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novel tools that address challenges across various specialty applications, including organic synthesis, chemical biology, and material science. By bridging the gap between chemical engineering and organic
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We are looking for an enthusiastic and highly motivated PhD-candidate who is eager to study the ecological consequences of sexual size dimorphism using mathematical models. You will be embedded in the Theoretical and Computational Ecology department , which is part of the Institute for...
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and Marine Ecology (FAME), Evolutionary and Population Biology (EPB), and Theoretical and Computational Biology (TCE). About the faculties A challenging work environment with a variety of duties and
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Resilient (XR), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop ‘smart breeding and cultivation’ methods to speed up