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learning algorithms (e.g., graph neural network (GNN) architectures) will be developed to explain the identified small-scale processes as accurately and efficiently as possible and to ultimately develop a
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detectors (Partial) automation of detector characterization for more efficient analysis Algorithm development: Development of a correction method based on information field theory for atmospheric image
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hours per week), based in Berlin. Your Tasks Development of software for the analysis, management, and interpretation of omics data Selection and benchmarking of algorithms, libraries, and tools
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group focuses on developing strategies and algorithms to quantity biologic effects of particle radiation based on underlying physics, biology and physiology. Within the BMFTR funded project “BIOMICRO
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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, with a possible additional 3‑year extension. In addition to your own position, the following personnel and resources will be provided to the successful candidate: 1x postdoc, 1x technical staff, funding
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a small multicultural research group with PhD students and postdocs of different nationalities. Thus, the group’s communication is in English. We aim to analyze the metabolic homeostasis
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collaboration with PhD students and postdocs on cutting-edge research fabrication of novel metal fiber-based current collectors processing and analysis of colloid dispersions & polymer materials manufacturing and
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control, state estimation, and path planning algorithms for single and multi-agent robotic systems (UAVs). develop and train AI models for practical applications such as real-time object detection and
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metabolic disorders. Backed by a prestigious ERC Proof of Concept Grant, we are now looking for a Researcher or Postdoc (f/m/x) with a background in engineering or physics – and the ambition to help shape