Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Do you want to be a part of the Calmodulin research activities at Aalborg University, and do you see yourself as a team player who is strong in collaboration? If yes, we look forward to reading your
-
, Chinese Academy of Science, Beijing, China. Your work tasks While immunoglobulins constitute an active player, in the body’s protection against disease, by binding to, and clearance of, antigens, viral and
-
experimental research in nanoparticle catalysis using advanced operando electron microscopy This collaborative PhD project between Technical University of Munich (TUM) ( the group of Prof. Barbara A.J. Lechner
-
energy storage molecules. Solvent effects on catalysts, substrates, and their interactions, on the ensuing conversion pathways, and on their branch-points will be explored. Your work will strengthen
-
the European Innovation Council (EIC), you will work in close collaboration with researchers at DTU, Cambridge University, Technical University Munich, Imperial College London and the company SolarFoods. You
-
, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as leading industrial partners. As a PhD candidate
-
education, you will follow courses and assist in teaching activities, and: You are expected to spend a period at a foreign research institution You will disseminate your work in international peer-reviewed
-
longer start-up phase. In consequence, we offer a one-year position as research assistant to allow time to work your way into the topic and fine-tune a PhD-project description, before potential enrolment
-
suggested empirical material as well as a work-plan. In addition to the research proposal, the application must include copies of a Master’s degree certificate or other certificates of a corresponding level
-
qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon