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, supervisor, and scientific community, promoting the lab's reputation, write reports for sponsors, research grants, and submit publications to journals Teach, supervise, and mentor undergraduate, PhD, and
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will be jointly embedded and interact with PhD students and research engineers of the Interdisciplinary Institute for Artificial Intelligence (3iA) TechPool, and operates in the context of international
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a final report. Active collaboration with project partners is also expected. Your profile Applicants should hold a PhD in mechanical engineering at the time of starting the position. The selected
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. Description We are looking for a postdoctoral molecular biologist to decipher the regulatory code controlling gene expression in plants through the engineering and large-scale validation of synthetic promoters
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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Systems Engineering, Computer Science, Software Engineering, Mathematics, or a related field Experience with interdisciplinary, multidisciplinary, or transdisciplinary research projects and related research
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Applications are invited from suitably qualified candidates for a Full time, fixed term position as a Postdoctoral Researcher with School of Natural Sciences and School of Engineering , and Ryan
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by rigorous training on project management skills. They will have access to state-of-the-art computing for high-throughput data analysis and molecular profiling technology. Our lab has a great track
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Engineering / Discovery start at the earliest possible date The goal of this project is to engineer existing biosynthetic pathways encoding for natural products, such as antimicrobial peptides (AMPs, RiPPs