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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
), Git/GitHub, and high-performance computing (HPC) environments is highly desirable. Strong analytical and quantitative problem-solving skills, with the ability to work independently while contributing
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with uncertainty in a responsible way. A particular area of interest is the use of regulatory sandboxes: controlled environments in which regulators, developers, and other stakeholders can explore
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quality software. As a PhD Candidate, you will carry out this work within the Software Engineering group at the Department of Computer Science, one of Norway's leading software engineering environments
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background, and are ready to contribute to research of the highest international standard. At Aarhus BSS, you will become part of an active and international research environment within the fields of business
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initiative, while also valuing close collaboration in an interdisciplinary and international research environment. Your experience and profile You hold a MSc in Bioinformatics, Artificial Intelligence, Data
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different feedstock compositions and processing conditions influence performance, and to evaluate the ability of the models to serve as robust tools for dynamic recipe design in real production environments
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stimulating environment, collaborate across academic fields, and engage with private and public actors? Are you enthusiastic to dive into a plurality of views regarding biodiversity and its recovery? Then, we
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of Pittsburgh. Hiring is contingent upon eligibility to work in the United States. Spoken and Written English need to be effective. The work environment is highly collegial and cooperative. Pittsburgh, rated
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yourself in this? You thrive in a multidisciplinary environment and communicate effectively with clinicians, engineers, and researchers. You are a clear and persuasive communicator, able to present results
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? As a PhD candidate, you will develop an integrated modelling framework to analyze the Water-Energy-Food (WEF) nexus in Controlled Environment Agriculture (CEA), including greenhouse and vertical