24 development-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NIST" Postdoctoral positions in Sweden
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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data
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Description of the workplace The position is placed in the NEX (Notations, Environments, and eXperiences) research group within the Software Development and Environments (SDE) unit at the Department
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University. The fellow will develop new methodology utilising the LPJ-GUESS dynamic vegetation model and applying it for assessment of dynamics and carbon cycling in forests around the world. They can expect
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the development and optimisation of membrane processes for industrial applications. Subject description The position is in food technology with a focus on the development and evaluation of processes
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techniques are used. The research is applied on problems in orthopaedics to develop better methods to understand and improve repair of musculoskeletal tissues. The group encompasses 10-12 scientists (teachers
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spatial data science perspectives will be used to organise and interpret the evidence, identify geographical and methodological gaps in existing research, and develop a coherent knowledge base to support
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Nanoelectronics we develop and study new generations of electronics based on advanced semiconductor technology. In particular, we develop and characterize new generations of electronic and optoelectronic devices
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circumstances, the doctoral degree can have been completed earlier. Additional requirements Broad knowledge of the research field of ecology and evolution of bird migration. Hands-on experience with basic
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both method development and empirical research, the latter in collaboration with scientists from other departments. We offer a research environment with access to national and international networks. Our
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program for Data-Driven Life Science (DDLS) . The DDLS program focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of AI-driven strategies/tools