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Field
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contract is part of a collaborative project aiming at the fabrication of dense clusters of plasmonic nanoparticles and polymer with non-linear optical properties. The objective is to demonstrate
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to understand the properties of stratospheric aerosols, and who will need the data you provide to optimise their work. What we are looking for: Research Associate: PhD in aerospace engineering, atmospheric
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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. Our research focuses on the established CRC/TRR 227 Ultrafast Spin Dynamics, the new CRC 1772 Heterostructures of Molecules & 2D Materials, and the new Cluster of Excellence for Chiral Electronics. We
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to hydrido-closo-borates,5 from sodium borohydride. Due to unexplained selectivity in boron cluster formation, a detailed mechanistic understanding is necessary. This postdoctoral project aims to explore
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foundations of feature learning in neural networks. Engage in the life of the CSD, including participating at the weekly seminars. Present results internally and at international venues; Qualifications PhD in
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group's efforts to be involved in the ATLAS experiment as part of the UAE-ATLAS cluster, composed of three UAE institutions. Candidates must demonstrate experience in experimental high energy physics
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technological research clusters in the fields of materials and nanomaterials, biotechnology, microelectronics and life sciences. Its work is geared towards applied research and innovation to meet market needs
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of PhD students in the project Profile We are seeking highly motivated candidates with strong achievements and a proven track record. Applicants must have: A PhD in physics, chemistry, materials science
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and Environment (IEE-USP). Requirements: 1. Proven experience in statistical analysis (regression and cluster analysis); 2. Previous research on aging and sleep; 3. Background in Social Sciences in