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, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do As a postdoctoral researcher, you will: Develop machine-learning
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imaging, with potentially high impact in life, environmental and materials sciences, and high-throughput analysis. As a postdoctoral fellow in this project, you will have the opportunity to: Gain in‑depth
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of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain. The Institute of Physics (IoP) of the Faculty
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of Chemistry and Biochemistry (https://science.du.edu/chemistry) offers undergraduate degrees in chemistry, biochemistry, and environmental chemistry and graduate degrees with specialization in biophysical
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or perl) and experience working in Linux and/or high-performance cluster environments. • A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be
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industry, to make the luminescent materials. Targeted materials are Yb³⁺-doped inorganic semiconducting sulphide materials, emitting in the infra-red spectral range, where silicon solar cells have high
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exercise independent judgment in data analysis, troubleshooting unexpected results, adjusting protocols, and ensuring high-quality data for publication. Scope & Impact: The position involves complex
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manage and direct this complex and challenging project as opportunities allow. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of the Principal
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individuals and cell types, and define interactions between mitochondrial and nuclear genomes. Projects will involve developing and applying new technologies to measure mtDNA variation and dynamics, performing
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
immune memory (Krausgruber 2020 Nature ), for high-content CRISPR screening (Bock 2022 Nature Reviews ), and CAR T cell engineering (Datlinger 2025 Nature ). As part of a newly funded ERC Advanced Grant