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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
of polyhydroxyalkanoate fermentation processes; • production of biomaterials (single- and multi-component) and their characterization using advanced surface and structural analysis methods; • collaboration with a PhD
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requirements For this postdoctoral role, we are looking for someone with a demonstrated background in SAR processing, SAR applications in agriculture and machine learning: A PhD in Earth Observation, Geodesy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
comprehensive neurovascular research program by contributing to imaging and clinical data acquisition, anatomic and procedural labeling, and support other aspects in the design and execution of translational and
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for analysing spatial omics and histology data from kidney tissue integrate imaging and molecular data to study how spatial patterns within tissue relate to graft health and disease work with clinical
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microscopy, depending on the candidate's expertise; - analyse quantitative biochemical, biophysical, imaging, and cellular data; - integrate experimental findings with computational predictions generated
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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, please submit your CV along with a separate document responding to the selection criteria below. Essential A PhD in mechanical/mechatronics/materials engineering or a closely related discipline
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submitting your CV and a separate cover letter (no more than 2 pages) that demonstrates how you meet the following selection criteria: PhD in Materials Engineering, Chemical Engineering, or a related
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that leverage the full complexity of the imaging data and that allow the selection of molecules that will serve for in-depth virological studies. Ultimately, this will result in the establishment of the first-of
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of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would be able to systematically integrate biomedical/biological knowledge to improve