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-glycan interactions and develop designer proteins with custom glycan binding specificities. Duties The successful candidate will work both experimentally and computationally. Experimentally, they will
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patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
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, prognosis, and subphenotyping. Contributing to study design, choice of analytical methods, and methodological development. Visual presentation of analyses and results, as well as writing scientific
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excellent research, innovation, and education, we create future industrial value chains. At the Division of Materials and Manufacture , our 40 dedicated colleagues care for one another and create an inspiring
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a unique opportunity to work at the intersection of molecular biology, forest technology, and applied innovation. The goal is to utilize existing filters in forest machines to collect eDNA, enabling
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protection both molecular mechanistic and eco-evolutionary perspectives. You will be responsible for designing, developing, conducting, and analysing experiments, which will include small scale field and
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no problem collaborating with others. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international
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doctoral thesis or a draft of this. A research plan describing planned research no more than 6000 characters including spaces. About the employment The position is temporary for two years according
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, Production and Design (PPD) have about 35 dedicated employees committed to advancing research and education in industrial product realization in close collaboration with industrial partners. Our workplace
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an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems