142 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" PhD positions in Sweden
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, Forest Technology, or a related field. Knowledge about Nordic forestry practices, specifically mechanized harvesting and boreal management. Advanced programming skills in Python and R for statistical
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University and Lund University within the ELLIIT programme (https://elliit.se/ ) and aims to develop the next generation of intelligent sensor systems capable of providing reliable situational awareness in
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and advanced level. Read more about the department here (https://www.slu.se/en/departments/soil-environment/ ). And about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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(Sensor Informatics and Decision-Making for the Digital Transformation). Read more about the Competence Center here: https://liu.se/forskning/seddit . The focus of this specific PhD project is to explore
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application! We are looking for a PhD student in automatic control at the Department for Electrical Engineering (ISY). Your work assignments This PhD position is part of the ELLIIT research program (https
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Animal Science Description: We are looking for a motivated and committed PhD student who wants
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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the role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program
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and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project