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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in green flotation chemistry for sustainable mineral processing - IV-27/26 Apply
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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11 Jul 2026 Job Information Organisation/Company Università di Pisa Department Dipartimento di Fisica Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 10 Aug 2026 - 13:00...
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. This knowledge is required to better understand the processes involving copper signaling in health and disease. Biological compartments, relevant to copper signaling, including synapses, have very high surface
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models/flow matching, and Gaussian processes for realistic load, generation and voltage time series. You will embed physical constraints into generation: power-flow consistency (Kirchhoff's laws) as soft
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will undergo an interview process. If supported to apply, you will then submit an expression of interest (EOI) following the advice at how to apply for a research degree . In your EOI, nominate Dr
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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14 Jul 2026 Job Information Organisation/Company University of Foggia Research Field Medical sciences » Other Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 12 Aug 2026 - 23:59 (Europe/Brussels) Country Italy Type of Contract Temporary Job...
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Job related to staff position within a Research Infrastructure? No Offer Description Neural reconstruction pipelines (e.g. Gaussian Splatting) and 3D sensing technologies such as LiDAR and
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time