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                research and real-world impact, leveraging one of the highest-quality financial datasets in the industry. What You’ll Do Conduct research and develop ML models to enhance trading strategies, with a focus on 
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                at the development of a rapid bacteriophage-based and culture-independent point of care (POC) device to profile nosocomial bacteria in respiratory tract infections. 2. Applicable Legislation Decree-Law no. 57/2016 
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                competitive, scientific environment? If you are motivated by the societal impact of science and technology, if you seek an opportunity to play an active role in the development of emerging technologies 
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                model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate 
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                impact, leveraging one of the highest-quality financial datasets in the industry. What You’ll Do Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and 
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                Job Code: 9521 - Research Assistant and 9529 - PhD Candidate Research Assistant Employee Class: Grad/Prof Student Position This position will provide support for lesson plan development relating 
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                throughout the laboratory and have close ties with ongoing collaborations in astrophysics and experimental physics. This position provides an excellent opportunity for an early career scientist to develop 
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                professors, junior research group leaders Berufsausbildung an der Universität Tübingen International researchers Excellent research conditions Values Career development Benefits Family and career Tübingen and 
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                Victoria, Kenya. The postdoctoral fellow will be based at Cornell University and will work primarily on a research project analyzing how cyanoHABs around Lake Victoria, Kenya are impacting aquatic food webs 
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                Beijing DRC Building D1, 1102A 19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail: postmaster@daad.org.cn WWW: https://www.daad.org.cn/zh