521 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" PhD research jobs
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willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high
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going to our job site (https://cfopitt.taleo.net/careersection/pitt_faculty_external/jobsearch.ftl ), searching job code 25005706 in the keyword search, and submitting your materials through our Pitt
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the
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, statistics, machine learning) - a high motivation and the ability to work independently with a strong team orientation - excellent spoken and written English and the will to acquire a certain working language
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the PhD study is planned as external stay at Valio (Helsinki, Finland) for one month to learning legume fermentation in an industrial scale, investigate the effect of bioprocessing and gain insight to R&I
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to this field: undergraduate, Master’s or PhD thesis. PhD required Please note that you must use the University of Alicante's standard CV format https://s.ua.es/es/nSdB for Project-based Research and Technical
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diets. Part of the PhD study is planned as external stay at Valio (Helsinki, Finland) for one month to learning legume fermentation in an industrial scale, investigate the effect of bioprocessing and gain
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caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits
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. Where to apply Website https://www.cam.ac.uk/jobs/research-assistantmsca-doctoral-network-phd-students… Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu