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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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degree or above in Biostatistics, Biomedical Sciences or related disciplines with at least 3 years’ post-qualification experience (preferably in clinical research, epidemiological data analysis of large
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Position Description: Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW … changemaking for a healthier Wisconsin. In the role of a
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(Compute Data) Efficient at working with large datasets and synthesizing scientific literature Project management Self-motivated and deliverable-oriented Ability to work both independently and as part of
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implementation of various projects, including (but not limited to) scaling, algorithm development, scaled score development and documentation. Support the creation, management, and retention of large-scale data
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of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches
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, for the analysis of these samples on the stable light-isotope-ratio mass spectrometer (IRMS), and for the modeling of the data. The position also requires preparation of manuscripts based on experimental results
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of gene regulatory networks in various cell types. The research will leverage a large in-house dataset from iCAN, complemented by publicly available data. These efforts aim to uncover in more detail
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Area of research: Scientific / postdoctoral posts Job description: Postdoc for "Large-Eddy Simulations of Arctic air-mass transformations" (m/f/d) Background The Arctic climate is shaped by
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Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can