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Field
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, perform simulation studies, and apply developed methods to empirical datasets. The positions do not involve any lab work. The work includes mathematical modeling, algorithm development, statistical analysis
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progress. Ability and willingness to work some flexible hours. Extensive experience in large-scale pre-training of large language model. Experienced in developing machine learning algorithms and large
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hybrid work agreement. The salary range for this position is $65,000 - $75,000 per annum, plus benefits. The primary goal of the CMMI is to develop an integrated multi ‘omics platform to investigate
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under the supervision of Professor Rachel Humphris. They will lead in-depth ethnographic fieldwork in the Netherlands, undertaking interviews and participant observation to trace how welfare algorithms
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and curation of remote sensing data from UAV mapping missions across multiple forested sites. ML Researcher: develop biodiversity classification and LIDAR canopy analysis algorithms based on UAV remote
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aims to strengthen interdisciplinary research among faculty, universities, research centers, industry partners, and government agencies to address global quantum challenges and prepare a new generation
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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Neurobiological discoveries have been fueled in recent years by rapid development of optical imaging tools. Over the last decade the Laboratory of Neurotechnology and Biophysics has developed a wide portfolio of
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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by integrating large-scale single-cell foundation models with structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under