Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
engineering and project management is advantageous Strong analytical and technical problem-solving skills, with a solid foundation in computational engineering Ability to work independently and take initiative
-
(particularly for packaging), and analytical techniques Experience in packaging processing technologies (e.g. extrusion, Injection, compression molding, others) Familiarity with relevant methods such as
-
demonstrating how predictive analytics can improve maintenance and production planning. By comparing data-driven and traditional methods, the project will highlight the tangible benefits of digital platforms
-
Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
-
PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
communication skills. For consideration, applicants must have: A recent Master’s degree in biochemistry, protein science/proteomics, analytical biochemistry or a related field Experience in experimental protein
-
) OpenFOAM (beneficial, not required) Strong analytical and problem-solving skills. Further information Further information may be obtained from Professor David R. Fuhrman (drfu@dtu.dk ). Application procedure
-
the ambitions to accelerate the detection and optimization of sustainable chemical approaches through the development of novel reactions and advanced analytics using state of the art high-field and hyperpolarized
-
Cadence Virtuoso, Spectre, or Mentor Graphics. Understanding of semiconductor device physics, especially MOSFET operation, modeling, and scaling. Strong analytical and problem-solving skills, with
-
is highly desirable. The candidate should have good analytical skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in
-
manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical