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for the following as soon as possible one student assistant (f/m/d) for 10 hours per week You will contribute to the survey methodological research of the data, including the preparation, testing, analysis and
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necessary, family allowances and contributions to child care are granted. A large number of cross-disciplinary educational events and discussion groups provide non-material support. Target Group students and
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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optimization of technical processes and products. The efficient solution of large linear systems of equations is a key challenge in numerous scientific and industrial applications – from numerical simulations
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of detailed electrical data and optical emission information. Cathodoluminescence measurements. Since degradation experiments typically extend over one week or longer, all measurements are performed in a fully
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25 Feb 2026 Job Information Organisation/Company Constructor University Bremen gGmbH Department School of Science Research Field Computer science Researcher Profile First Stage Researcher (R1
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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), at the University of Tübingen. The priority area contributes to a better understanding of language technology (in particular, large language models) and its applicability in the sciences, with a focus on linguistics
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Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association. The Computational Infection Biology Department, led by Thomas Otto, is seeking a highly motivated PhD Student (in data
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Desired: Experience with deep learning frameworks (e.g. TensorFlow) Snakemake or Nextflow skills Experience with analysing large NGS data sets High Performance Computing skills (e.g. with SLURM) Knowledge