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(S)TEM. Requirements: Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods
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. Generate structural and electronic descriptors to support the development and training of machine learning models for materials discovery. Contribute to the definition of FAIR data standards for the results
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topics in astrophysics and cosmology using LIGO-Virgo data. This includes searches for compact binary coalescence events and determining their mass/spin spectrum, and for primordial black holes and axion
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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety
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: Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in
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topics in astrophysics and cosmology using LIGO-Virgo data. This includes searches for compact binary coalescence events and determining their mass/spin spectrum, and for primordial black holes and axion
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past achievements and, most importantly, future research plans centered on organoid research. Contact Information for 3-5 professional references. About Us Shenzhen Bay Laboratory (SZBL) is a new, world
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Cluster hire of PIs and postdocs in the fields of evolution, biodiversity conservation and ecology, genetics, neuroscience, brain-computer interface, human disease mechanisms and Interdisciplinary
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and next-generation brain–computer interface development. Positions and Qualifications 1. NHP Co-Principal Investigator/Research Professor Core Responsibilities: 1) Co-Lead Nonhuman Primate (NHP
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: The candidate will be involved in the design and development of the software and programming tools for the read-out and data management of the optical biosensors. The main tasks include: Phyton programming and