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on the production of agricultural plants and the interactions with the surrounding environment. The research examines how different production methods, cultivation environments and systems affect yields and other
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considered if they are deemed relevant to the project. Additional requirements: Experience in working with spectroscopy methods, particularly Raman (micro)spectroscopy Experience in spectral data analysis in
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reliable and sustainable components more affordably and more efficiently. Due to the complexity of the research, an integrated framework combining experiments, simulations, and data-driven methods is
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research. Assesment criteria For this position, particular emphasis will be placed on the following: Scientific originality and quality of the doctoral thesis. Experience and competence in scientific methods
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communities of life and environmental sciences, in particular the Soil Chemistry group (25%). Drive and develop methods/sample environments toward studies of heavy metals and sulfur in real systems. Key
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these may be taken into consideration. The expertise in electrochemistry and sufficient general understanding of organic chemistry, electrochemical principles and methods is essential. The experience in
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agreed upon. Department of Computing Science The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
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advanced wireless technology with innovative computing to shape the future of cloud computing in 6G communications systems. The department offers a collaborative and inclusive culture that promotes
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thermal and materials characterization including using RAMAN, FTIR, DSC, DMA, TGA, LFA and 3-Omega measurement methods etc. We seek candidates with the following qualifications: To qualify for the position