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Field
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, planning, and acting across multiple classes of scientific instruments, enabling a fully integrated closed-loop “self-driving laboratory”. The role focuses on providing the AI core and foundational
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: The desired candidate demonstrates strong theoretical and methodological capacities as well as documented expertise in computational methods. Documented experience with R or Python programming is also very
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contributing to outcomes that matter to farmers, communities, and the planet. Key responsibilities will include: Advance innovative research in crop adaptive trait physiology and modelling across multiple crops
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semantic mapping tool for interoperability across multiple blockchain-based CBDC systems, sob a form of a business logic plugin. The contribution must be integrated in an existing enterprise blockchain
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on-chain data from multiple bridges and messaging protocols across several blockchains. Develop visualizations and metrics summarizing empirical findings, along with a discussion on implications for protocol
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Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical simulations Pose appropriate initial and boundary conditions for
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The BrainSignatures Lab (BSL) in its current form is a proteomics lab dedicated to finding biofluid signatures of Alzheimer's disease and other dementias. We follow multiple longitudinal cohorts
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: strong background in quantitative analysis and data manipulation proficiency with programming languages such as R, Python, MATLAB, or similar motivation, and potential for research within seafood
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marine life support systems and autonomous scuba diving, as well as in programming with Python and R. Experience in animal behaviour and biostatistics. Participation in research projects in the fields
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expertise in software tools related to simulation/ optimization of energy systems, and coding using a high-level language (e.g. Python) has experience in analyzing multi-energy systems from different