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and reality gap bridging for deformable object interaction (e.g., MuJoCo, PyBullet, NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning
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for ongoing projects, data analysis results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: -A PhD in Biostatistics
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to statistics and data science, behavioral economics to social and political history, Dietrich College is home to 11 humanities and social sciences departments, programs and institutes. Our world-class faculty
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, Australia, and the Netherlands. The project offers access to large-scale, multi-site neuroimaging datasets, advanced analytical tools, and a collaborative, multidisciplinary environment. Work environment: The
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industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X-ray diffraction and even more
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with the main field of application being topological photonics based on microcavities. Analytical calculations Numerical calculations Analysis of experimental data The work will be carried out
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characterizing field-effect transistor biosensors for sensing target analytes in sweat. The candidate will work closely with Prof. Davood Shahrjerdi and Prof. Elisa Riedo in accomplishing this goal. The ideal
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, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms. Strong publication record in top-tier venues
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time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process, organize, interpret, review
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PhD or equivalent degree required; experience in bioinformatic data analysis, zebrafish, or genetics is preferred. Additional Information: Location: Biomedical Research Tower (0112) Position Type: Term