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, and apply modern machine learning approaches yielding hybrid and reduced order models to enable real-time applications. In collaborating with industrial partners you will integrate real-world data and
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computational models are indispensable for providing insights that are difficult to capture experimentally. This position is available from the 1st. January, 2026. The aim of this PhD project Our aim with
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Neuroscience (Prof. Katharina von Kriegstein) offers, subject to the availability of resources, a position as Research Associate / PhD student (m/f/x) (subject to personal qualification employees are remunerated
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, static user representations, and data sparsity. While deep learning models offer improvements, they often come with high computational costs and require frequent retraining, which limits their scalability
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, and numerical modeling - confident handling of big data and time series analysis methods - good analytical and problem-solving skills, good communication skills, and the ability to work independently
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Friedrich Miescher Laboratory of the Max Planck Society, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 15 days ago
model and non-model organisms Data management and organization Development and implementation of custom and reproducible data analysis pipelines with impactful reporting in collaboration with wet-lab
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the management and storage of MBL data through the TERRA Data:HUB and Quantitative Biology Center (QbiC) Tübingen. The working language in TERRA is English. Candidates for this position must hold a degree (MSc or
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, economically and socially sustainable agriculture – together with society. We jointly offer the position of a Research Associate / PhD candidate (m/f/d) "Flies as vectors for the spread of antimicrobial
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) Positions PhD Positions Country Germany Application Deadline 30 Sep 2025 - 00:00 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 16 days ago
partners in multiscale modelling, characterisation, machine learning, and industrial design will be essential to integrate all data and methodology, and to define appropriate data and metadata standards