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candidates can start as soon as possible and ideally by early 2026. The overreaching aim of REC is to generate a coordinated analysis of long-term ecological data to understand the drivers and consequences
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by integrating computational mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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characterization techniques (spectrum analysis, power measurements, linewidth analysis) Knowledge of semiconductor laser physics (thermal effects, carrier dynamics) Experience with mask layout design Knowledge
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collaboration with the PI. The duties of the researcher include: Collation and text-critical analysis of the Peshitta version of Jeremiah, including assessment of the Peshitta readings in comparison with
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-PCR, microscopy and computational analysis skills (such as RNAseq, sc-RNseq analysis) are considered advantageous. The applicant should have the ability to work productively both independently and as
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. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and
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different regions abroad, with studies on climate, land, energy, and water analysis, modelling, and management. Your responsibilities We are looking for a talented and experienced postdoctoral researcher with
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, possessing expertise in cell signalling, cell and tissue imaging and analysis, with experience in 'omics' technologies and bioinformatics approaches. Essential qualifications High level of motivation, capacity
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terrestrial gravimetry (measurements, processing, modelling) is an advantage - Understanding of geodetic data analysis and geophysical processes is an asset - Basis understanding of quantum physics is a plus