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features from unlabeled high-resolution microscopy data Training and evaluating segmentation models for detecting and characterizing defects such as dislocations Applying generative models (e.g., GANs
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scientists on, e.g.: Developing self-supervised learning frameworks to extract features from unlabeled high-resolution microscopy data Training and evaluating segmentation models for detecting and
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knowledge of semiconductor physics, lasers, and optics. Ideally, experience in the field of transmission electron microscopy. High level of self-motivation, as well as enjoyment and skill in practical work
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Nanomicrosystems is looking for a PhD Student (f/m/d). The position is announced in frames of Research Training Group "Supracolloidal Structures: From Materials to Optical and Electronic Components" (GRK 2767
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“planar scanning probe microscopy”, a flexible approach to scanning probe microscopy developed in our group (Ernst … Reinhard, ACS Photonics 6, 2 (2019)) to turn nanogap cavities into a scanning probe
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and microscopy. This 3‑year, part‑time (65 %) PhD position offers a unique opportunity to advance fundamental and applied understanding of host–parasitoid dynamics across diverse marine environments
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well as modern genetic engineering methods and microscopy. Requirements: a very good MSc or equivalent degree in Biology, Biochemistry/Biophysics is required for employment experience in cell or molecular biology
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well as modern genetic engineering methods and microscopy. Requirements: a very good MSc or equivalent degree in Biology, Biochemistry/Biophysics is required for employment experience in cell or molecular biology
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completed Master´s or equivalent university degree, ideally in the life or natural sciences working experience with Amphibians or other aquatic vertebrates, fluorescence microscopy, and behavioral experiments