892 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Sweden
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Technology and learning Teacher
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or relevant topics be result-oriented and have high level of motivation and will to face challenges and conduct systematic research to solve them, if necessary, by learning/adopting new techniques/theories
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Python) and data analysis or machine learning applied to materials science Ability to work in interdisciplinary project or industrial experience About the employment The employment is a temporary position
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, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project We will recruit a
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implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation
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for applicants are available at: How to apply for a position . Where to apply Website https://su.varbi.com/en/what:job/jobID:907631/type:job/where:39/apply:1 Requirements Research FieldPhysicsEducation LevelPhD
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in full-text format) Only documents written in Swedish, English, Norwegian and Danish can be reviewed. More information for applicants will be found on our career site: https://www.oru.se/english
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. Experience in analytical techniques such as Raman, MALDI-TOF-MS, HPLC is welcomed Willingness to learn new techniques (e.g., MicroCT Scan, FIB-SEM). Specific Requirements The degree must have been completed
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, the University contributes to a better future. The Department of Marine Sciences, University of Gothenburg, (https://www.gu.se/en/marina-vetenskaper ) combines extensive scientific competence with unique
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publication list. Where to apply Website https://lu.varbi.com/en/what:job/jobID:907034/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical