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for Interdisciplinary Digital Sciences (CIDS), the Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers a full-time position as Research Associate / PhD Student / PostDoc (m/f/x
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. Supervisor: doc. Ing. Ivan Vitázek, CSc. More information about PhD position: https://tf.uniag.sk/sk/doktorandske-studium-2 Additional admin information: renata.zahorska@uniag.sk Where to apply Website https
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Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes. Supported by major research grants, the School
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engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 10 May 2026 - 23:59 (Europe/Brussels) Country Poland Type of Contract Temporary Job Status Full-time Hours
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-skogsgenetik/ Read more about our benefits and what it is like to work at SLU: https://www.slu.se/om-slu/jobba-pa-slu/ PhD Student: DDLS integrative pangenomics of polyploids Project description This PhD project
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. 240/2010), University of Pisa. PhD enrolment: The selected candidate will be enrolled as a supernumerary doctoral student in the PhD Programme in Artificial Intelligence at the University of Pisa (https
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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the EU Research Framework Programme? European Union / Next Generation EU Reference Number 175556 Is the Job related to staff position within a Research Infrastructure? No Offer Description Research
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Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes. Supported by major research grants, the School
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farm management through innovative sensing technologies, advanced modeling, and intelligent automation. This PhD project contributes to PhenoRob’s initiative to develop digital twins for agroecosystems