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conducting a pilot temporal and regional assessment of exposure dynamics. The candidate will also investigate the statistical associations between carcinogens concentration in the different biological matrices
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(Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic connections in
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Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped munition...
pathways of contaminants in diverse environmental and human matrices. Our work involves conducting both environmental risk assessment and public health risk assessment ( https://envs.au.dk/en/about-the
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and training your own AI-based models for image segmentation or image compression, as demonstrated by Git repositories Experience in supervising students and young scientists Good knowledge of materials
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that reveal the biology behind challenging childhood diseases. Rare diseases affect 400 million people worldwide; most still lack answers. Autonomous AI can compress months of genomic and literature analysis
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
of multiple matrices, is comfortable with research communication to a variety of audiences, speaks a Nordic language. Furthermore, the candidate should be well-organised and able to structure complex tasks