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and reproducible research, e.g., in the development of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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to work on projects in the modeling of representative democracy. The primary role of these Research Associates will be to anchor multiple research projects in electoral systems (such as ranked choice
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, with software development experience in multiple programming languages, including Python and R. Next generation sequencing bioinformatics knowledge, preferentially with previous cancer and clinical
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of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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Deadline: The position is open until filled Research Opportunities in Statistical Learning at the School of Physical and Mathematical Sciences of NTU Singapore There will be multiple PhD positions available
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environments, taking into consideration new work arrangements (e.g., gig work and remote work) and technology (e.g., remote control, algorithmic management). The dominance of AT has contributed to an over
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
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. Important instructions to applicants are at the bottom of the page. Be attentive when applying as many of our positions require multiple attachments. Please note: each page of the application will save upon