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to the faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Good oral and written presentation skills in English language. Good theoretical background in electrochemistry and electrochemical processes Knowledge
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qualifications deemed relevant to the nature of the position and the duties included therein. The work requires good knowledge of Swedish and English Pursuant to Karlstad University’s Appointments Procedure
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Exchange, in www.bep.gov.pt , on the 1st working day following its publication in Diário da República; On the internet https://euraxess.ec.europa.eu in English; On the IPS website at https://www.ips.pt/ips
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, Social Sciences, Natural Sciences, Health Sciences, or Engineering by the call deadline (date of PhD defence/viva) Have a maximum of 8 years full-time equivalent research experience measured from the date
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. Eligibility criteria associated with HORIZON-MSCA-2024-DN-01-01 can be found at: https://marie-sklodowska-curie-actions.ec.europa.eu/actions/doctoral-networks Selection process Applications will be evaluated
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analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: This PhD project explores a cutting
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such as articles and your PhD thesis (provide an English summary if the thesis is not in English) that you have authored or co-authored. The following experience will strengthen your application: A doctoral
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with evidence of successful goal-setting and team performance. Academic Excellence: A PhD (or equivalent expertise) in English and/or Creative Writing (or related subject). Professional Profile: A strong
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applications for postdoctoral research fellowship position(s) within the field of machine learning, natural language processing, and AI safety. The proposed starting date is 1 February 2026 or soon thereafter
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underrepresented in science, who have curiosity, creativity and a drive to learn new skills. Not all projects will be funded; a limited number of candidates will be appointed via a competitive process. English language