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applicants for a postdoctoral fellow position in the Laboratory of Systems Pharmacology (LSP; https://labsyspharm.org/ ), part of the Harvard Program in Therapeutic Science, at Harvard Medical School in Boston
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Doctoral (PhD) Candidate to join the new MSCA Doctoral Network FairCFD (https://www.imft.fr/faircfd/project-presentation/ ). The candidate will enrol for a PhD in Chemical Engineering at the University
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standard laboratory and office equipment. * Demonstrated computer skills and proficiency with MS Office Suite and data analysis and presentation software (Prizm, Adobe Photoshop and Illustrator, Image J, etc
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merit. Experience of and interest in the analysis of medical images, omics data or other types of health data is considered advantageous. Strong programming and software development skills and familiarity
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communication skills in English (written and spoken); German language skills are advantageous but not required - Prior experience in medical AI or clinical data analysis is a plus What We Offer - A structured PhD
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on advanced modeling of coupled fracture/damage of geomechanical materials when subjected a range of multiphysical loading regimes including hydraulic, thermal, and chemical processes. The direct applications
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process, modification of the microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image analysis, spatial
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 27 days ago
. - COMPETE2030-FEDER-00682600, Operation No. 15722, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets