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indicators Contribute to synthesis activities linking biodiversity, multiple stressors, and the Planetary Boundaries framework Postdoctoral level: Provide scientific guidance within work package 2 and
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research and developing decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more
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with large-scale data construction and empirical research • Programming skills (R, Stata, or Python) Applications should be sent by e-mail, together with significant documents, indicating the reference
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 5 days ago
development, or quantitative MRI (e.g., Python, MATLAB). Strong motivation to work in an interdisciplinary, cross‑species framework. Excellent communication skills and the ability to work within an
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mechanics and analysis Experience with the following: Structural health monitoring (SHM) Finite element modeling (e.g., ABAQUS, SAP2000, ANSYS) Machine learning / AI (Python, TensorFlow, PyTorch) Demonstrated
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data and inform the experimental design of agrivoltaic systems in multiple states in India. We are looking for a candidate who is eager to co-develop the project’s specific research questions
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
data, OD matrices) Programming skills for scientific computing (Python, MATLAB, or similar) Familiarity with applications in mobility systems, transportation, or energy systems (e.g., electric vehicles
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methodology. Applying AI and machine learning (ML) tools (including Python, R, and possibly other languages) to test and evaluate biomedical hypotheses. Developing benchmarks and working together with staff
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an interest in working at the intersection of environmental epidemiology, multi-omics, and maternal and child health! This individual will have the opportunity to work with data from multiple cohorts
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methods of soil characterization, monitoring and management, Organization of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python