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Field
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
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University. We are seeking a qualified candidate to join a team with an international reputation for producing high quality research outcomes in the area of animal behaviour. This project involves establishing
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skills. Demonstrated ability to work independently and as part of a team with minimal supervision. Demonstrated capacity to deliver high-quality project outcomes in a timely manner. Computer programming
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, modular battery with machine learning algorithms. The aim is to develop a high-performance, intelligent battery system that includes advanced thermal management and high-performance battery management
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Independent definition, development and implementation of processes for transferring promising laboratory concepts into the 300 mm high-tech cleanroom environment Optimization of process flows and metallization
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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The National Energy Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher — Scientific Machine Learning (NESAP) to join the Workflow
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of machinery or tools used to perform work, moving vehicles, electrical current, working on scaffolding and high places, or exposure to chemicals. Atmospheric Conditions: Conditions that affect the respiratory
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functioning of the civil society that can last longer than the time of the incident itself. The criticality of the energy sector and the possible high impact of cyber incidents and attacks are well understood
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, biomedical or computational imaging). A detailed knowledge of molecular imaging, or material science is mandatory. Experience in designing and performing scientific work independently and collaboratively is a