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Field
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related to staff position within a Research Infrastructure? No Offer Description The aim of the project is to develop and optimize an innovative method for utilizing new ultracold, strongly polar, and
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independently. PhD in a relevant field. Documented experience of 1D, 2D design and optimization or CFD work related to turbomachinery research will be considered a plus Assessment criteria This is a career
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skin obtained by self-assembly approach). Participate in the development and optimization of experimental protocols. Implement calibrated photodynamic therapy protocols to induce tissue remodeling
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computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases
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monitoring and energy optimization. You are also expected to supervise PhD and master’s students within your areas of expertise. At least four papers in high-quality journals are expected during the project
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key—you will work closely with researchers and PhD students within the Division of Marine Technology. Your responsibilities Your main responsibilities will include: Benchmark study: Compare and evaluate
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graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
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plasticity. The successful candidate will: Implement and optimize molecular and biochemical approaches to characterize metabolic pathways associated with carbon storage and recycling in photosynthesis. Conduct
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using optical techniques, cryogenic spectroscopy, and atomic force microscopy (AFM). • Drive the fabrication and optimization of novel 2D heterostructure devices in our state-of-the-art cryogenic optics
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs