29 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions at Lunds universitet
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charge detection. More information can be found at: www.ftf.lth.se , www.nano.lu.se https://portal.research.lu.se/en/persons/ville-maisi Subject description QPHOTON’s aim is to design, fabricate and
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statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity, be process-oriented and able to work independently. Being able
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consists of 18 research groups covering a wide range of mathematical disciplines – from pure and applied mathematics to numerical analysis and optimization, as well as mathematical statistics and machine
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learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. Detailed description of the work duties, such as: Constructing
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degree certificates, a CV or equivalent, and any other materials you wish to submit (copies of transcripts, reference contact details, letters of recommendation, etc.). Where to apply Website https
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includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity
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doctor are offered the opportunity to undertake further training in teaching and learning in higher education for at least three weeks within the scope of their employment. The larger research project is
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information of at least two academic references. Copy of the doctoral degree certificate, and any other certificates/grades/documents that should be considered Welcome to apply! Where to apply Website https
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information regarding the Faculty of Medicine Where to apply Website https://lu.varbi.com/en/what:job/jobID:883943/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers