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looking for a dynamic and highly motivated PhD student. Research topic Whereas mutations are the driving force for adaptive evolution, many genetic alterations exert negative fitness effects. The effect
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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scalable solutions across the board. PhD or equivalent experience in Bioprocess Engineering, Synthetic Biology, Fermentation Science, or a related field, ideally with experience in yeast and fungi
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for the design of synthetic promoters and data analysis. PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent A publication record in peer-reviewed journals, and excellent proficiency in
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driving context-specific expression. You will work very closely together with your wet-lab colleagues for the design and follow-up of experimental validations. PhD (or MSc with research experience) in AI
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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
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to collaborate, and a proactive attitude are key. This role is ideal for someone motivated by scientific data infrastructure and public health impact. Requirements A Master’s or PhD degree in a life sciences or
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) that is renewable for multiple additional 5-year periods, and access to state-of-the-art research and top-notch support core facilities, as well as support to attract talented PhD students and postdocs from
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. PhD in life sciences and >10 year experience in human life sciences research. Experience or an interest in computational biology and or drug development is a plus. Broad scientific interest and the
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, with a strong background in experimental neurobiology, molecular biology, we want to hear from you. Your unique experiences and perspectives are invaluable to our team. Profile PhD in Biology