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learning methods for research applications. • Proficiency in programming languages commonly used for robotics and AI development (e.g., Python, C/C++, MATLAB). • Strong command of statistical methods and
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Equipment Utilized Standard molecular biology equipment and procedures, fly husbandry, Perl and/or python programming languages, R statistical package and the Unix operating system Physical Demands and Work
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University of Würzburg - NUCLEATE Excellence Cluster | Oettingen in Bayern, Bayern | Germany | about 2 months ago
exciting program at the Würzburg site. For further information on the research topics of the individual groups in Würzburg, please see the PI profiles on our website: www.nucleate-cluster.de/about/ . An
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University Department of Emergency Medicine is seeking a postdoctoral fellow to join our research program. We are focused on generating data to inform how best emergency departments can most effectively
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completed earlier. Additional requirements: Very good oral and written proficiency in English. A completed doctoral degree in cell biology or immunology. Strong ability to initiate, develop and conduct high
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a postdoctoral researcher, you will contribute to the TASICI project
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, or human-centered ML. ●Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository. ●Excellent abilities in
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development and experimentation with testbeds for communication systems Be prepared to engage with non-conventional approaches to system design. Have highly developed written and oral communication skills in
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previous experience in theoretical quantum optics and quantum information, as well as strong skills in writing scientific papers. You are proficient in at least one common programming language such as Python
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the academic community Advising of student researchers What you contribute Ph.D. in Computer Science, Neuroscience, or similar program Background in Machine Learning and Computational Vision, ideally with