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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 23 hours ago
Research Group "Cluster Algebras" of Dani Kaufman has openings for PhD Student and Postdoctoral Researcher Positions. The group is based at the Max Planck Institute for Mathematics in the Sciences, a
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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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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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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
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structural development over time at the group, sub-group, and individual level (e.g., using normative modelling and clustering approaches to parse heterogeneity). The candidates will further have the
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of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work provides the possibility to develop skills in
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structural development over time at the group, sub-group, and individual level (e.g., using normative modelling and clustering approaches to parse heterogeneity). The candidates will further have the
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researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key
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such as the Minnesota Super Computing Institute, and IHI’s dedicated computing clusters will be provided. Duties/Responsibilities (55%) Conduct research and development in medical imaging and analysis. (30