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of oxygen in oxygen-depleted waters, so called dark oxygen production. Processes of this type were recently discovered in microbial cultures and could be important for microbial communities and element
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competencies The ideal applicant profile should demonstrate expertise in one or more of the following areas: optimization algorithms (heuristics, metaheuristics, exact methods), learning-based approaches
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with 15 researchers at various career levels with expertise within molecular methods development, bioinformatics and machine learning. Furthermore, the position will be anchored in the Center
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scale. Furthermore, the work will include biomass extraction and fractionation using novel green extraction methods as well as detailed biomass chemical characterization using spectrophotometric bioassays
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background in thermodynamics and phase behavior of complex mixtures Excellent programming skills (e.g., Python, C++, Fortran, or similar) Experience with COSMO-based methods, including parameterization, model
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a focus on ecosystemic interventions and collaboration. Experience with literature reviews and qualitative methods. Ability to work independently, think analytically, and approach tasks systematically
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. The Postdoc will conduct research on methods to enhance the performance, safety, and lifetime of lithium-ion batteries by integrating physics-based modeling with data-driven approaches. The work will include
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applications. The project investigates two complementary reuse strategies: Repurposing of large blade segments into structural elements (e.g., beams, panels) Material recycling of shredded fibers for use as
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for use in epidemiological studies Solid knowledge of epidemiological and statistical methods Capability to work both independently and to advise and support colleagues in cross-disciplinary research
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power