Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
rigorous development of sciences that relies on a strong theoretical foundation without neglecting practical impact. Qualification requirements PhD stipends are allocated to individuals who hold a Master's
-
passionate to present the results in peer reviewed science journals. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3
-
the DTU-supercomputer facility Niflheim . Qualifications You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree
-
contribute to the development of nutritious and safe diets and support sustainable food innovation. PhD Project The primary objective of the PhD project is to identify, develop, and apply beneficial
-
academic qualifications at master's degree level. Appointment as postdoc requires academic qualifications at PhD level. Who we are The research group is recognized internationally as a strong research group
-
, industrial, or translational careers while contributing to personalized and clinically relevant therapeutic solutions. Responsibilities and qualifications The main purpose of this PhD position is to develop a
-
wafer runs, ASIC validation, and measurement setups is considered an advantage. Teaching Responsibilities The employees will contribute to teaching and supervision at Bachelor and Master level within
-
social sciences embedded in an engineering environment. Your main supervisor will be Senior Researcher Sophie Nyborg, and you will join the PhD School at DTU Wind and Energy Systems. Responsibilities and
-
. Teaching will primarily be in Bæredygtigt Design (Sustainable Design - bachelor taught in Danish) and Sustainable Design (at master level which is taught in English), but also in other study programmes
-
main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study