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a citizen science component to gain a broader data foundation and raise awareness of the issue. The results will support management measures and policy initiatives to reduce plastic pollution
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and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms
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, active ingredients and efficiency of 4Ds relative to existing interventions. Objectives The PhD research would encompass all elements of 4Ds and involve the following: A systematic review of the efficacy
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advantages. The appointee will be responsible for conducting pre-clinical research and data analysis, co-ordinating and communicating analysis with collaborators, writing manuscripts and scientific
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on the use of new Lyapunov-based deep learning methods. Such development includes: ideation, mathematical development, Lyapunov-based analysis, executing simulations and experiments, and disseminating research
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(sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R, or similar languages for data analysis
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of conducting a PhD. The PhD programme includes a German language course, subject courses, research design for the dissertation, field work in the home country, development analysis and future
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coverage of both theory and empirical analysis, the PhD programme at GSEFM offers a two-year cycle of doctoral-level courses developed specifically to transmit a rigorous methodological framework in the core
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-electron microscopy and data analysis Good communication and interpersonal skills Motivation and a collaborative mindset What we provide to you: Open access to CEITEC MU core facilities with state-of-the-art
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been little change in risky drinking. Alcohol use in and around water is a risk factor for injuries, including fatal and non-fatal drowning. In Western Australia, young people are over-represented in