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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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Software Developer (Python/Django) Job No.: 678879 Location: The Alfred Centre Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $106,789 - $117,128 pa HEW 07 plus
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one statistical software (e.g., R, Stata, SPSS, Python) Expertise in quantitative analysis, with preferred skills in Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM) Social
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 21 days ago
the methodology applicable to different commodities # Scientific publication activity Your profile # Completed university studies (Master/Diploma) in the field of Geosciences, Applied Geosciences or related field
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broader-based circular bioeconomy. Scion hosts a number of summer students, each with differing specialities, from tertiary institutes across New Zealand at both our Rotorua and Christchurch Campus
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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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Make a Difference at Grand Canyon University The College of Engineering and Technology employs faculty and faculty leaders who are passionate about engaging and mentoring students to best prepare
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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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working productively with others who may have different skillsets and knowledge. You will need to be comfortable using Free and Open Source Software (FOSS) and have demonstrable experience in Python, and/or
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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