222 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" positions at Technical University of Denmark
Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
can read more about career paths at DTU here . Further information Further information may be obtained from professor Poul Sørensen, email posq@dtu.dk , mobile phone +45 2136 2766. You can read more
-
of catalysts (e.g., Cu/ZnO/Al2O3) to assess their activity, selectivity, and stability under high-pressure conditions. Process Optimization and Simulation: Utilize lab data and process simulation tools like
-
absorption, desorption, and overall process efficiency of a mini-pilot carbon capture plant Compilation, processing, and interpretation of experimental data to identify trends and improvement opportunities
-
workflow using big data and data science. The Analytics team is part of the Biofoundry and is providing reliable, accurate and high-throughput analytical services by means of state-of-the-art analytical
-
research projects, from initial conception and design through to completion. Communicate research results: presenting data at national and international conferences and meetings, writing reports and
-
Job Description We are looking for a skilled and experienced Full tack Developer with interest in designing and building tools to work with dietary and nutrient data. The Research Group
-
on the interests of the candidate, they may also be involved in our ongoing developments of a digital data infrastructure for 2D materials (see 2dhub.org), which would involve high-throughput electronic structure
-
at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will
-
. For information about our enrolment requirements and the general planning of the PhD study program, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized
-
on these problems, and use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking