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Field
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the biomolecular polymer structures, batch-to-batch variations, and changes during modifications; set-up and validate methodology for quantification and identification of said biopolymers, including
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spectroscopic techniques to understand structure–property relationships and performance. A significant part of the work involves laboratory-based synthetic chemistry, including the preparation and handling of air
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projects in tissue neuroimmunology. Postdocs will design and lead their own experimental programs while contributing to the collaborative life of the lab. Each position is structured to move the trainee
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Research Engineer or Postdoctoral Researcher (m/f/d) in the field of Engineering Physics or Material
qualification) for research and development into specialty optical fibres Your tasks 3D-printing, extrusion, and chemical purification of structured glass preforms made from fused silica Drawing
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particle properties, tailored guest inclusion, and defined structural organization for advanced materials applications. The research will focus on the synthesis of cationic MOFs, the control of particle size
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simulations, to establish structure–function relationships in advanced therapeutic delivery systems. There is opportunity to supervise master’s and/or PhD students to a certain extent. The position is based
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effectively across disciplines. Required qualifications: You hold a PhD in (bio)physics, structural biology a related field. You have demonstrated experience in FIB-SEM workflows and cryogenic electron
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Participation in the publication of the journal "Forum Islamic-Theological Studies" This is part of your personality: Excellent German language skills (at least C1 level) are essential Completed doctoral/PhD
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structural, engineering, and evolution of viral antigens are required. Small animal work is necessary. Role Description: This is a full-time Postdoctoral Researcher role at Saint Louis University. What can the
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics