17 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs at University of Lund
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research or administrative tasks—in accordance with applicable regulations. Information regarding the PhD programme in psychology is available at: http://www.psy.lu.se/en/study/phd-programme Eligibility
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on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description We are recruiting 1-4 students for the following two projects: Dual Control at Scale: Learning-based control
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work‑related health issues a critical blind spot that must be addressed to achieve sustainable societal solutions. Read more about the project here: https://www.ses.lu.se/forskning/samhallsnara-forskning
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in each subject are specified in the relevant general syllabus, available at https://www.lusem.lu.se/research/doctoral-studies. Other requirements A proficient level of English is required in both
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and software Experience in developing technical documentation, safety procedures, and audit reports Experience with automation technology Experience with machine safety and/or process safety systems
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, econometrics, applied microeconomics, and macroeconomics. For more information, please visit: https://www.lusem.lu.se/organisation/department-economics/research Job Assignments The holders of these positions
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at Lund University, within attosecond physics and quantum information (e.g., Prof. Anne L’Huillier and Prof. Stefan Kröll). For more information: https://www.matfys.lu.se/staff/faculty/marcus-dahlstroem
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of your education or have done a project at a synchrotron. If not, we require students with a great interest in our facility and a willingness to learn. Below are seen as merits Public speaking and
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background and interest in soil microbial ecology, ecosystem ecology and biogeochemistry. You will be part of the Microbial Biogeochemistry in Lund (MBLU) research environment (https://portal.research.lu.se/en
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qualifications Ongoing full-time enrolment in a master’s programme by the faculty of science Advanced programming skills in Python and R Advanced proficiency in ArcGIS and/or QGIS Experience with machine learning