84 machine-learning "https:" "https:" "https:" "https:" "U.S" positions at Lunds universitet in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
are considered as other qualifications: Practical experience from statistical signal processing or machine learning. Experience with mathematical modelling and analysis of wireless communication systems. This also
-
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
-
microbes to acquire essential resources. However, whether such partnerships were important during the initial evolution of multicellularity remains unclear. This PhD position will help address this gap by
-
accepts the position is therefore expected to have acquired sufficient knowledge of the Swedish language (spoken and written) within two years to be able to teach in Swedish and to participate actively in
-
their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
-
at the department includes topics such as microeconomics, finance, econometrics, applied microeconomics, and macroeconomics. For more information, please visit: https://www.lusem.lu.se/organisation/department
-
employed at Lund University, Work with u s. Work duties In the role as Project Assistant you will use machine learning and other advanced statistical techniques to develop precision prediction models using
-
to solving the various environmental challenges caused by the wide use of plastics. You can read more about our relevant research from a recently completed project “STEPS”: https://www.steps-mistra.se/ Subject
-
within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has around 20 members