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program duration: 4 years Funding Source: National Science Centre (NCN) - OPUS 27 program and Silesian University of Technology Doctoral School Employment Conditions: PhD student at the Silesian University
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the DFG-funded project with the aim of characterizing the molecular and functional mechanisms of epithelial plasticity in kidney repair to contribute to the preparation of scientific publications and
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field concerning health (e.g., health science, health psychology) or data analysis (e.g., data science, statistics) Affinity with data science (e.g., complex statistics, machine learning or computational
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data
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measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information
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-free double perovskites Your Profile: Master`s degree in theoretical or computational physics, chemistry, materials science or similar fields Familiarity with atomistic simulations, high-performance
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Wrocław University of Science and Technology, Faculty of Pure and Applied Mathematics scholarship ID: WrocawTech -PHD [#26632] scholarship Title: PhD student scholarship scholarship Type: Student
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Description PhD Candidates in Economics BI Norwegian Business School offers a four-year Ph.D. Programme with specialization in Economics , which trains students to engage in high quality scientific research
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+to+apply#Howtoapply-Eligibility) a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Cognitive Science, Psychology or a related field excellent knowledge in AI and at least one