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degree in biotechnology, microbiology, molecular biology, or a related field. Background in metabolic engineering, microbial genetics or synthetic biology. Experience with molecular cloning and bacterial
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numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc. • Strong interest in multidisciplinary, application-driven research with desire to innovate and pursue advanced research. •Highly
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statistical models (for example principal component analysis) to obtain insights into relationships between physical properties of polysaccharides (composition, molecular weight charge, chain length etcetera
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like laboratories for molecular biodiversity and isotopic studies including radiocarbon dating, advanced field equipment for terrestrial and marine studies, research vessels and long-term data-series in
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The overall aim of the project is to resolve the quantum trust challenge where the inherently quantum nature of these devices, being beyond classical simulation, complicates their straightforward validation
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computing. Current challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation
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TV-L, part-time 65 %, limited for 3 years, start: as soon as possible) Are you passionate about machine learning, molecular science, and making discoveries at the interface of biology and chemistry
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The vacancy is within the group of Prof. Barbro Melgert at the department of Molecular Pharmacology, Groningen Research Institute of Pharmacy, Faculty of Science and Engineering, University
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other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models on materials science tasks as well as integrate your semantic-AI services
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for Medical Biotechnology focuses on the development of new and innovative molecular tools and technologies to address human health problems. The center translates its insights to widely applicable research