Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
for doctoral studies, you must hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, applied mathematics, mathematical statistics, or in a similar field, or have completed
-
that is deemed equivalent by the employer. Specialization in signals and systems (signal processing and control theory), machine learning, statistical inference methods, or computational science
-
/mechanical loads Data/signal analysis Statistics We encourage you to provide details of referees and/or attach a letter of recommendation. Applicants for this position, accept that Uppsala University and the
-
PhD degree in the area of medical sciences, statistics, psychology or other relevant disciplines or a foreign degree equivalent to a PhD degree in these areas. The degree needs to be obtained by
-
statistics. You have experience with a high-level programming language, such as Python, MATLAB, or R. You have problem solving analytical skills as well as numerical analytical skills. Rules governing PhD
-
Statistical Machine Learning 1RT242 Applied Systems Analysis (SVE) Requirements Employment as a student assistant is regulated by the Higher Education Ordinance, Chapter 5. Only those who are admitted
-
Published: 2024-04-10 The Department of Mathematics conducts research and provides education at undergraduate and graduate levels in mathematics, applied mathematics and statistics. The number
-
this research network, both by developing Duties Developing a research project analyzing change and dynamics in Russian boreal forests primarily through remote sensing data and other available statistics
-
. Requirements: The applicant must have a Bachelor’s degree focused on quantitative analysis, for example in economics, political science, statistics or computer science. You have a genuine interest in research as
-
programming experience in Python Excellent knowledge of GIT Experience with the Pandas and scikit-learn libraries in Python Experience developing statistical analysis or machine learning workflows in Python, R