Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
writing clean, efficient, and well-documented code. Mathematics skills including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications
-
in core machine learning theory—including statistics, optimization, and linear algebra—is desirable. The ideal candidate will have a proven ability to independently develop and execute research plans
-
computer science, statistics, mathematics, data science, or related fields. Strong background in statistics and linear algebra. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in
-
degree or currently working on finalizing master thesis in computer science, statistics, mathematics, data science, or related fields. Strong background in statistics and linear algebra. Foreign completed
-
: Strong understanding of statistics, probability, optimization, and linear algebra. - Machine Learning: Deep learning, probabilistic modeling, generative models, etc. - Programming & Software Development
-
computer science or statistics A solid background in mathematics, linear algebra and statistics. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework
-
. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
-
with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in computer science or statistics A solid background in mathematics, linear algebra and statistics
-
development, e.g., SDN and P4. 3. Must have taken coursework in calculus, linear algebra, probability and statistics, and possess experience in mathematical thinking and abstract reasoning. 4. Willingness
-
development, e.g., SDN and P4. 3. Must have taken coursework in calculus, linear algebra, probability and statistics, and possess experience in mathematical thinking and abstract reasoning. 4. Willingness