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would build upon the laboratory's past and ongoing work within the context of AI-guided Design, Inverse Design, and Optimization across different application domains. In particular, we are developing
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their quantitative and qualitative management at different scales (local, regional, and national). The goal is to support public policies, conduct research, and provide services to national and international
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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Requirements Data
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trustworthy, we facilitate large-scale and reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing
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- Experience with python, C or scripting - Experience with machine learning - Experience with drone related activities For further information about the position and the application procedure, please contact
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characterizing defects such as dislocations Applying generative models (e.g., GANs, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities
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Researcher Working Title (if different from Position Title) Job Summary The RFID Lab at Auburn University is looking for motivated, hard-working, and detail oriented students from various disciplines
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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full job description here. About you You will bring Degree in Bioinformatics or Computer Science with a scientific background Strong programming skills: Proficiency in languages like Python, R, Java, C/C