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Field
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opportunity to actively shape change! You can expect a wide range of opportunities: Meaningful tasks: The position offers a varied and diverse role in an international environment Work-life balance: Optimal
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Qualifications PhD in Civil Engineering, Mechanical Engineering, Applied Mechanics, Materials Science, Physics, or a closely related field by the start date. Strong background in solid mechanics, structural
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skilled professionals in a pool of doctoral and postdoctoral fellows to provide specialized solutions to optimize production and preserve the environment. ABOUT ASARI The African Sustainable Agriculture
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, both verbal and written, are required. Key duties: Successful candidate is expected to: Develop and optimize lipid extraction protocols Conduct lipid conversion into biodiesel Analyze lipid profiles and
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of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly
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, laboratory testing, greenhouse experiments, and agronomic validation. Key Responsibilities Develop and formulate new simple and complex fertilizer products Contribute to the optimization of fertilizer
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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willingness to expand into population and ecological genomics is essential Structured, analytical thinking and a systematic, careful working method Enthusiasm for interdisciplinary collaboration with
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, …). Some effort may be dedicated to finding a tensor network topology (tensor train, tree tensor network, …) allowing to optimally represent vector fields arising from turbulence simulations. Then, this
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(Swanson et al., 2020) and economic journals (Fišar et al., 2024) are increasingly adopting open science practices, their effectiveness remains partial due to structural limits. On the one hand, flawed