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Field
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: Follows NIH Postdoctoral guidelines and comprehensive benefits Start date: As soon as possible Core Responsibilities Develop and optimize protein purification protocols for key stress response factors
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will then analyse complex patterns of data and derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Water process prediction and optimization) Posting Start Date: 10/06/2025 Job Description: Job Description The Research Staff
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. The Variational Quantum Eigensolver (VQE) is one such optimization algorithm that helps determine the total energy of molecules. In the NISQ era, simulating molecules with more than 16 qubits is a hard problem
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(PECVD) system. Design appropriate experiments for PECVD growth of boron nitride nanomaterials. Optimization of PECVD parameters. Perform and analyze SEM, TEM and Raman and other material characterization
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oligonucleotide delivery programs. Develop and optimize synthetic strategies for lipid building blocks and lipid-drug conjugates. Apply analytical techniques (e.g., NMR, LC-MS, HPLC) to assess structure, purity
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chip. A strong background in the design and fabrication of silicon photonic devices, advanced characterization techniques, and an interest in semiconductor materials optimization is highly desirable
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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notebooks and electronic files Your profile PhD degree in physics with solid knowledge of condensed matter physics, quantum mechanics, and magnetism Expertise in X-ray based magnetic imaging or scanning probe
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in UM6P's collective projects and external missions, and to provide support to students (PhD and Master's), i.e., supervision for the writing of reports, dissertations, and end-of-study papers. Skills