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, running from early 2026 towards the end of 2027. Application Procedure Please submit your application in English as PDF files according to the instructions below. Each file should not exceed 40 MB. Note
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to be revalued. The project studies the processes through which value transformations of bio-waste are made. Examples of wastes that might be of interest are wastewater, stormwater or forest waste. The
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, or any other area relevant for the postdoc project. -Knowledge of and skills in processing, analyzing and publishing flux data from closed-chamber measurements, as evidenced through relevant first-authored
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potential applications. In particular, we focus on evolutionary prediction: can we use a deeper understanding of evolvability to predict and, potentially, control evolutionary processes? Read more about our
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: -Multi-modal data processing for decision-making in natural environments -Terrain
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related field, with a focus on computing or data science. Additional requirements are: Significant experience in bioinformatics, genomics, computing, machine-learning, or other data science area
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on personal abilities. All employees at MDU are expected to cooperate and treat colleagues and students with respect, take responsibility for the organisation and their own work duties and contribute to a
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efficient remediation technologies. At the same time, current recycling processes are greatly complicated by the presence of pollutants (chemical treatment products, heavy metals), which calls for further
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about employee benefits is available here . Union representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by clicking the “Apply
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applied machine learning projects in, e.g., computer vision, in close collaboration with industry partners. The position is not connected to an existing project, so the postdoc fellow will either join an