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opportunity to be part of the project “Bavarian Artificial Intelligence for Insect Monitoring” (https://go.ur.de/baimo ), which investigates the effects of climate change on insect populations as part of
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opportunity to be part of the BaySensAI project (https://go.ur.de/baysenseai ) and develop an AI-based prediction and monitoring system for biodiversity data as part of the Bavarian research network bayklif2
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emerging treatments for people living with multiple long-term conditions. This project will utilise the SAIL Databank’s (https://saildatabank.com/ ) rich anonymised population-scale, individual-level, linked
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(UNAC). https://unitedacademicsak.org/ This position is term-funded and is reviewed annually for contract renewal at the University's discretion. The University of Alaska (UA) is responsible for providing
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and statistics in a higher education institution in Romania Specific Requirements advanced knowledge of econometrics and programming in Gauss and/or Matlab and/or Python and/or R is an advantage
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project work plan and milestones Your profile Completed university studies (Master/Diploma) in the field of Chemical/Metallurgical/(Mineral) Process Engineering, Data Science, Statistics, Machine Learning
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applied questions such as environmental management and risk assessment. For more information on EnvStat, please see https://www.helsinki.fi/en/researchgroups/environmental-and-ecological-statistics TWO
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Mathematical Statistics: https://www.umu.se/en/department-of-mathematics-and-mathematical-statistics/ We look forward to receiving your application!
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of the project (https://anr.fr/projet-ANR-24-CE28-5107 ). Main Tasks • Development of a research axis: The recruited researcher will be responsible for leading the research axis focusing on the relationship
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, programming languages, scientific computing, and statistical physics communities. Depending on your background and interests, your project could involve: developing new differential and probabilistic