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of samples. To apply and further optimize data analytical workflows. A comprehensive database will be created, documenting the key chemical and physical properties of advanced bio-oils. The qualified applicant
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. The successful candidate is expected to utilize the data resources affiliated with the center, and in this case in particular the dialect archives and collections at NorS. Depending on the successful candidate’s
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-disciplinary teams. The preferred candidate has a strong interest in advanced manufacturing of mechanical and electrical products and competencies in applying life cycle assessment (LCA) data to derive decision
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paid fellowship with a very competitive salary (a minimum monthly gross salary of DKK 36,138 including pension) and excellent conditions to excel in their research. Further information is available
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including pension) and excellent conditions to excel in their research. Further information is available Associate Professor Ramkrishan Maheshwari, phone: +45 65 50 16 86, email: ramkrishan@sdu.dk If you
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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optimization of SERS substrates, Raman measurement, data analysis, and validation of results with reference methods such as high performance liquid chromatography (HPLC). You are expected to have a solid
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pressures on international humanitarian law. PhD proposals and project descriptions are not expected to cover this broad research agenda in its entirety, but rather specific aspects of it, selected, motivated
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for interoperable messaging that inform future innovations and policy Applicants must have a Master’s degree in computer science, human-computer interaction, or a closely related field. Due to the project's focus