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experience beyond graduate school Familiarity with 2D and 3D modeling software and working knowledge of 3D printing Ability to guide students in integrating moving and/or motorized elements into multimedia art
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and will participate in both in vitro (2D and 3D cell and organoid culture) and in vivo (mouse model) research. The role involves conducting functional studies to investigate cellular pathways altered
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-microbiome interactions in the female reproductive tract, using microfluidic organ-on-chip platforms to model vaginal epithelial and microbial dynamics in real time. The postholder will contribute to sample
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
Developing computational framework for 3D shape modeling towards biological insights Developing AI-based representation learning framework for data-driven cell modeling Report findings and methods in
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differentiating these stem cells into organ specific cell types and 3D organoids together with CRISPR technology, you will study how genetic variants shape cellular responses to chemical exposure. Combined with
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(questionnaires, biometrics, …) categorize specific sets of tasks and environments to investigate decide on the form factor and appearances of robots to investigate and build prototypes / 3D models for them using
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, targeting terabit‑scale bandwidth at best‑in‑class energy efficiency. The team builds on imec’s advanced photonics platforms, cutting‑edge devices, and innovative 3D assembly approaches developed at the imec
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involved in the Mars 2020 Perseverance Rover mission, with a focus on photogrammetry and imaging techniques. The contributions to the mission include topography modelling and innovative visualization
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synthesis, characterization, drug release studies, antibacterial assays, and biological evaluation under in vitro, ex vivo, and in vivo conditions using a porcine model. The project will also utilize
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of resistance to targeting therapies (antibodies, and antibody-drug conjugates) integrating clinical data, 3D cancer cell models, high-throughput approaches and co-culture systems. The successful candidate will