Sort by
Refine Your Search
-
information may be obtained from Professor and Head of Research Group, Frank Aarestrup on fmaa@food.dtu.dk or Associate Professor, Philip Thomas Conradsen Clausen plan@food.dtu.dk Read more about the DTU
-
planning. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges
-
materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python
-
Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
computational determination of thermophysical and physical–chemical PFAS properties. PFAS molecules are defined by the presence of CF₂ or CF₃ groups and exhibit a wide range of unique characteristics, including
-
of computer-aided tools for chemical and biochemical product and process modeling, process synthesis, design, analysis and operation. The tools are applied in the chemical, petrochemical, pharmaceutical
-
developed. You should be highly qualified in: Thermodynamic theories and models for electrolyte solutions Mathematical modelling and computational algorithms Scientific dissemination As a formal qualification
-
Job Description We are searching for an excellent, ambitious, and driven experimentalist for a 18-month postdoc position to drive a project aiming to develop resource-efficient programmable photonic
-
, high-throughput screening, and state-of-the-art carbohydrate analysis, to validate computational designs and generate data that advances our knowledge of enzymatic carbohydrate synthesis towards
-
elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU
-
/leveraging large public databases (knowledge of working with public APIs) are advantages although not a must. Proficiency in Python and/or R in scientific computing and reproducible data analysis is a must