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Field
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout
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focuses on the mechanisms regulating cardiovascular repair and aging. Where to apply Website https://hectorfellowacademy.applicationportal.org/ Requirements Research FieldMedical sciencesEducation
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technology or related field. Documented knowledge and experience in data programming and modelling. Excellent communication skills in English, both written and spoken. Meritorious qualifications Knowledge
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
out research duties within the project “FibroRevert - Modeling and targeting cell-extracellular matrix communication to revert tissue fibrosis”, GA 101221669, funded by the European Research Council
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
of Translational Oncology is located at the LMU Klinikum Großhadern. Your Tasks Perform molecular biology, cell biology and biochemical experiments using human and murine SCLC models Apply CRISPR-based genome
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the experimental lab (https://www.mathbioleiden.nl/software.html#virtualleaf ). Incorporate detailed insights into the model of the mechanical properties of cell walls based on experiments and small-scale
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engineering Engineering » Other Technology » Energy technology Researcher Profile Recognised Researcher (R2) Application Deadline 11 Aug 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status
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to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
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challenge the traditional rodent-centric view of URL development and emphasize the need for alternative experimental models, and a deeper understanding of the gene regulatory networks governing URL cell