689 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD positions
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Field
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optimisation, reinforcement learning or uncertainty analysis is advantageous Experience in processing and analysing time-series data A structured, independent and solution-oriented approach to
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the Horizon Europe Marie Skłodowska‑Curie Actions (MSCA) Doctoral Network ‘MicroMan4Health’ on Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector ( https
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, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/mobile-robotics ) and Intelligent
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Marie Skłodowska-Curie Actions (MSCA) Doctoral Network MicroMan4Health – Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector ( https://www.microman4health.eu/ ). The
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analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics, and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are
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, indsamle og analysere data fra neutroninstrumenter. Derfor skal de studerende, som fremover skal anvende sådanne forskningsfaciliteter, udvikle viden, færdigheder og kompetencer, som kan
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fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard
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Doctoral students in Data-Driven Product Realization Reference number REF 2026-0391 Join us for an exciting and excellent Doctoral student journey to create the future of Data-driven Product
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initiative aiming to enable a transition towards more data-driven and environmentally responsible maintenance of urban drainage infrastructures. The overall goal is to reduce pollutant loads to coastal and
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Fingrid. Research focus Monitoring and data analysis: Apply and develop methods to estimate torsional oscillation frequencies, damping and amplitudes from phasor measurement unit (PMU) data. Analyse