Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
attention. Traditional assessment in the form of closed-book examination has its advantages. However, there exist many forms of alternate assessment, including automated approaches such as digital grading
-
fast-flowing sediments and water; ii) Develop a reduced-order model of the multi-phase system using machine learning and integrate it into the volume-coupled numerical framework; iii) Perform simulations
-
computer graphics. Knowledge / previous implementation of volume rendering, ray tracing and ray casting techniques. You have 1) experience with or 2) a strong background in medical visualization, computer
-
of volume rendering, ray tracing and ray casting techniques. You have 1) experience with or 2) a strong background in medical visualization, computer graphics, medical image analysis. Preferably you finished
-
political philosophy and public policy ethics, practical ethics, public administration, educational sciences, AI and digital governance, and computer science (machine learning). The postdoc will conduct both
-
policy ethics, practical ethics, public administration, educational sciences, AI and digital governance, and computer science (machine learning). The postdoc will conduct both theoretical research (with a
-
Job description ASML Photolithography machines play a central role in the production of ever smaller and faster microchips and represent high-precision systems of enormous complexity. Water cooling is
-
Job related to staff position within a Research Infrastructure? No Offer Description ASML Photolithography machines play a central role in the production of ever smaller and faster microchips and
-
Irène Curie Fellowship No Department(s) Mechanical Engineering Reference number V35.7384 Job description ASML Photolithography machines play a central role in the production of ever smaller and
-
mass, momentum, and energy exchange between slow- and fast-flowing sediments and water; ii) Develop a reduced-order model of the multi-phase system using machine learning and integrate it into the volume