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microscopy, or scientific programming for data acquisition, instrument control, and image analysis using LabVIEW, MATLAB, or related platforms. Candidates must have at least one first-author research article
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 24 hours ago
command of the English language Additional information Start date between January and October 2027 Duration: 4 years Remuneration is according to EG 13 TVöD-Bund Application deadline is October 30, 2026
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circuits on millisecond timescales. To understand how the brain operates, the Z. Wang Lab at the Rowland Institute at Harvard develops optical tools to record and control neural activity across the entire
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Laboratory | Centre for Disease Control| Faculty of Medicine Compensation Range $4,597.80 - $5,469.59 CAD Monthly Posting End Date September 1, 2026 Note: Applications will be accepted until 11:59 PM
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candidate will focus on developing terahertz cavity-magnonics platforms based on low-damping antiferromagnetic oxides, with an emphasis on controlling and coupling antiferromagnetic spin excitations using
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reproducible fabrication, assembly and quality-control procedures using the cleanroom facilities at the London Centre for Nanotechnology. You will characterise device geometry, porosity, surface chemistry
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; contribute to their biophysical characterization and study of aggregating and self-assembling peptides; lead the synthesis, purification, characterization, and quality-control validation of a peptide library
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understand end-user requirements and needs when implementing developed technologies in an industrial environment. Today’s mining equipment has become more advanced with computerized control systems that have
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program focused on patient centered outcomes research in cancer control. The position is structured to support training and research in the area of patient-centered outcomes research, with an emphasis
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& Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning through Stochastic Control (a brief description of each these is as follows (additional details