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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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circumstances, the doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Documented experience with coding for data analysis and
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or PEEM, where relevant. Detailed description of the work tasks: Responsible for designing, planning, and performing experiments, with participation of colleagues/collaborators Responsible for designing
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to increasing CO2 and climatic change is a large uncertainty for ecosystems, crop productivity and climate predictions. To tackle this uncertainty, we combine: growth chamber experiments, samples from world
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physiologically structured population modelling or stage-structured biomass modelling is an important merit. Expertise in community ecology and experience in ecological risk analysis are merits. Generic merits: We
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familiarity with associated technologies. Demonstrated programming proficiency in languages such as Java and Python, along with experience in various development environments. Knowledge of participating in
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experience and an interest in the research area. The position requires a Ph.D. in biology, ecology, environmental science, agronomy or an equivalent subject. You should have a documented ability to
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in labour unions, etc. We seek a talented and open-minded candidate, who is eager to learn and has a genuine scientific interest. Extensive knowledge in and practical experience with protein expression
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international peer-reviewed journals, including at least one as first author, is required. Extensive previous practical experience in the following is required and should be clearly described in the personal
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of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in ecosystem ecology, biogeochemistry, physical geography, or a related field. Past experience of synoptic surveys