2,521 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Fellowship positions
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of fellows: nationality/ies: OTHER Selection process Comparative evaluation procedure based on qualifications and interview Additional comments Contact email: valutazionicomparative@unimib.it Contact phone
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Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process
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Eligibility of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process Comparative evaluation procedure based on qualifications and interview Additional
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of the EPHIC project, ‘Electrochemically assisted Phosphorus and Humics recovery via Ion exChange’, with a particular focus on the Cranfield University contribution to ion exchange processes for phosphorus and
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contribution to ion exchange processes for phosphorus and humics removal and recovery from water and wastewater streams. You will design and run experiments, analyse and interpret research data, and contribute
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are looking for a Postdoctoral Fellow – innovative ore processing Your tasks You will conduct both basic and applied research based on powder diffraction methods, your main tasks are: Research
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Environmental Sustainability Research Fellow in Ion Exchange Processes Fixed Term Contract for 12 months Full time starting salary is normally in the range of £37,897 to £40,462 per annum Location: Cranfield
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assisted Phosphorus and Humics recovery via Ion exChange’, with a particular focus on the Cranfield University contribution to ion exchange processes for phosphorus and humics removal and recovery from water
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particular focus on the Cranfield University contribution to ion exchange processes for phosphorus and humics removal and recovery from water and wastewater streams. You will design and run experiments
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on computer vision. The role involves developing and advancing novel algorithms for emerging challenges in computer vision, including continual learning and few-shot learning. The candidate is also expected