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Field
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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
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-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
for the AMBIOM (Analysis of Microscopic BIOMedical images) Research Group: PhD Candidate (m/f/d) You will be responsible for Developing large-scale microscopy image analysis pipeline for 3D microscopy images
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
a real-time, closed-loop heartbeat-detection paradigm for interoceptive task fMRI. Analyse primarily task-based fMRI data using layer-specific regional analyses, functional connectivity and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
, images, preferences or contextual data, and the server side, where agentic systems generate action plans, exchange data between agents, and invoke external tools and APIs. Research Objective: The thesis
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Circulatory Support (MCS) experimental lab with real-world clinical analysis in patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and
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PhD candidate, you are expected to bring your own creativity to the challenge: How can image-based AI analysis reveal drug effects? How can mechanistic computational models develo on spheroid morphology
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processing (image analysis); (iv) the results will be used as input parameters for reactive transport modeling. Keywords: microfluidics, micro-model design, heterogeneous porous media, leaching, reactive
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cultures considered essential. Skills in bioinformatics, quantitative image analysis, and data processing will be a strong advantage, as the project will generate rich multiparametric datasets. Prior
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characterization, o microscopy and metallurgy, o (micro-)mechanical testing, in-situ testing and digital image correlation, o numerical analysis of experimental data. We look forward to receiving your application