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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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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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Your Job: This PhD thesis aims to quantitatively study the initial stages of light conversion into electrical signals in Si-based photovoltaic devices. The research will employ off-axis electron
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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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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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To Apply: To apply for the position, please provide the following materials as a single PDF file via email to Dr. Andreas Fischer (andreas.fischer(at)uni-greifswald.de): A letter of motivation detailing your
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tools and concepts. Supervise student projects and BSc/MSc theses. Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field. Strong
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of software tools and concepts. Supervise student projects and BSc/MSc theses. Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field