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, contribute to a better world. We look forward to receiving your application! We invite applications for a fully funded PhD student position to join the research group of Jan Glaubitz to work on Bayesian
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a PhD degree in one of the following disciplines: energy systems, data analytics, quantitative methods, mathematics, engineering or other relevant discipline, have commensurate research which includes
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individuals who have or will soon receive a PhD in Economics focusing on firm dynamics, structural transformation, economic growth, spatial economics. The appointment is for 3 years and will begin September 1
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ICSE, SPLC, and ICSA during the past recent years. About the research project As a postdoc, you will conduct original research in the area of AI-based program construction or performance engineering, co
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technology and funding, accelerating research productivity. World-Class Benefits: St. Jude offers a world-class benefits package (https://www.stjude.org/jobs/hospital/benefits.html). Enjoy comprehensive
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structure includes lectures, topical discussions, and coding exercises, preparing students to tackle complex engineering problems in both academic and industrial settings. The successful candidate should have
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of biologists and software developers you will improve the existing structure and develop new features. Your responsibilities: Adapting the SILVA service portfolio to needs in microbial ecology and diversity
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of PhD-level scientists, graduate, and undergraduate students working at the intersection of water treatment, materials science, and civil engineering. Applicants should have experience in synthesizing
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Education Accreditation (CHEA). If the applicant does not have undergraduate degree in engineering, then PhD in Civil Engineering with Construction emphasis is required. Applicants from all areas
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or