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through in vitro cell models. 2. Workplace The workplace is located at the Porto facilities of Universidade Católica Portuguesa. 3. Remuneration Gross monthly pay is 1402,88€, plus meal allowance, to which
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. Focused on student academic achievement and postgraduate outcomes Welcomes difference and models respectful interaction with others Engages with the community both within and outside of ACC Job Posting
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in a team environment Preferred Qualifications Experience or familiarity with some of the following tools is strongly encouraged: Adobe Creative Cloud or similar creative software 3D modeling and
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environment. We develop knowledge about resilient and sustainable crop production systems to meet the demands for quantity and quality in terms of food, animal feed and bio-based raw materials in a changing
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Details: Starting Pay - $70,400; Commensurate with education and experience Work Hours: Varies based on department needs; Applicant will have a schedule of 40 hours a week. Hours of operation for
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three-dimensional cancer models (organoids, tumour-on-chip, spheroids, etc) or primary neutrophils would be advantageous; Excellent command of English, both spoken and written; Strong organizational and
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these developmental insights to innovate regenerative approaches for treating heart diseases in adults. The successful candidate will lead a research program to understand how chromatin remodeling complexes control
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our website: https://www.list.lu/ How will you contribute? The Luxembourg Institute of Science and Technology (LIST) is seeking to recruit a two-year postdoctoral position to work on the fabrication
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are looking for a postdoctoral researcher to be based at the University of Minnesota to advance hydrologic modeling of low-relief, peatland-dominated watersheds. Specifically, we are looking to implement a new
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value