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Job Description Apply now Req Id: 39404 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary Postdoctoral Research Associate Position – Machine learning
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undergraduate and graduate programs. Candidates with expertise in machine learning, big data, mathematical finance and probability theory are particularly encouraged to apply. The department expects to support
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to effective therapeutic strategies targeting IDPs Collaborate on the development of open-source machine learning tools to support these therapeutic designs Work closely with high-throughput screening teams
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
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for statistical analysis, data visualization, and AI integration; ability to collaborate on technical projects and interpret machine learning outputs. Skills, Knowledge and Abilities required: Ability to implement
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vibrant department with active research clusters in algorithms, artificial intelligence, bioinformatics, computer networking, computer vision, graphics and Virtual Reality, high-performance computing, human
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annual base salary for this position is $62,500 - 65,000 depending on the candidate’s experience and qualification. Candidates must have a PhD in urban planning, human-computer interaction, design
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Physics, or Electrical Engineering, within 0-5 years of post-PhD training. For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity
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integrating specialized veteran-centric competencies and understanding of military culture. Field Liaisons serve as the bridge between agency, student, and school, helping to facilitate integrative learning
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Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping