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the methodology and experimental approaches, as well as being able to build on expertise in bacteriology, cell biology, structural biology and biochemistry in the group. You should hold, or be close to completion
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, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development. Preferred Qualifications
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Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and selectivity mechanisms in
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Qualifications • Ph.D. in Civil/Electrical/Mechanical Engineering, Computer Science, Data Science, or a related field • Demonstrated expertise and publication record in computer vision, machine learning, 3D scene
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at the Department of Biochemistry. You will be working on a project that will study the functional importance and prevalence of filamentation among transcription factors at the structural level. The project has a
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, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development. Preferred Qualifications
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Position Summary Dr. Amargant-Riera’s research laboratory focuses on understanding the mechanisms that define oocyte quality. The lab uses mouse models and human samples to investigate
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of Engineering and professor Raed Hashaikeh, Professor of Mechanical Engineering. The successful applicant will lead an innovative project focused on the development of surface-patterned membranes with tailored
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—such as the 4D Imaging Lab, NanoLund, and MAX IV—will also be possible. Subject description This project will investigate the failure mechanisms of silicon-based anodes in solid-state batteries (SSBs), a
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thermal, structural, electrical, and mechanical properties. The researcher will also design and execute statistically rigorous experiments, develop publications and reports, and collaborate with internal