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-assisted image analysis, and AI-driven predictive modeling. The project is part of an EU-wide initiative to address the growing issue of airborne health threats found indoors. Your profile: • Master’s Degree
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analysis, we will investigate the cardiac immunometabolic network regulating cardiac fibrosis. Additionally, the candidate will have the opportunity to apply for grants supporting further research work
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skills (e.g., numerical methods, statistical analysis, coding, data management) Good communication skills Ability to work in a team Driving license category B desirable (access to field sites) Your Tasks
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lab like those developed by E-Sailor 3. Prototypes shall be built and thoroughly tested to match performance and lifetime requirements. In the end, support shall be given to support payload integration
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Aug 2026 - 23:59 (Europe/Amsterdam) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 29 Is the job
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 2 months ago
biology • Basic knowledge of and strong interest in next-generation sequencing (NGS) data analysis • Proficiency in at least one programming language, preferably Python and/or R, and routine use
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-temporal detail. The work will involve experimental implementation, optical setup development, numerical data analysis, and modeling. Requirements: Applicants must hold a Master’s or Diploma degree in
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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile First Stage
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released as open-source software and reusable research artifacts. Your Responsibilities You will work in an interdisciplinary team and build your scientific and technical skills in a structured manner. Your
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components. We focus on application-oriented methods that can operate in real time and are suitable for operating decentralized systems. We aim to enable the reliable, cost-efficient, resilient, and