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Field
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at the Medical Faculty You develop and optimize innovative LC-MS and GC-MS methods for the analysis of diverse biological matrices, including human samples You act as a scientific contact person for our users
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transformative fabrication approaches that enable novel material performance, improved processing pathways, and deployable structural solutions for aerospace, energy, defense, and industrial applications. Key
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 28 days ago
close collaboration at all stages of a research project exploring applications of deep learning and artificial intelligence to dynamic portfolio optimization problems. This position offers the opportunity
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(20 hours per week with a gross monthly salary of 1 500 euro) for 6 months with possible prolongation depending on the results. The requirements and duties are described below. Where to apply E-mail
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Offer Description ODTÜ-GÜNAM, Turkey’s leading solar energy research center, is seeking a Project-Based Researcher to work on the development and optimization of passivating contact silicon solar cells
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optimization of Gene Editing vectors and their delivery to target specific loci in the human genome in collaboration with different world-renowned research laboratories specialized in rare diseases and oncology
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therapies, thereby accelerating the development of effective treatments for patients. As a PhD student, you will work closely with a lab technician and a postdoctoral researcher on the development and
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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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optimize composite materials that can significantly enhance the efficiency of wastewater purification processes by leveraging the piezocatalytic phenomenon an emerging technology with great potential
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the innovative use of piezocatalysis. The successful candidate will engage in cutting-edge research to understand, design, and optimize composite materials that can significantly enhance the efficiency