46 parallel-and-distributed-computing-phd uni jobs at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
, entrepreneurship, and work-life balance. Be part of a university that values innovation, societal impact, and diversity. In this position you will develop and lead a research program focused on applying quantitative
-
performance computing) services. We are looking for a new colleague for a newly established position, someone with insight into and interest in the technical aspects of FAIR data management solutions and
-
engineering, operations research, computer science, economics, or a related field. You must have demonstrated track record with publications in recognised and leading journals based on experience in developing
-
. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written
-
, BSc, MSc and PhD levels. The position will involve teaching in existing courses and developing new relevant course materials by bringing the newest results from your research into our teaching to
-
languages, and in time are expected to master both. As a formal qualification you must hold a PhD degree (or equivalent). If you are applying for the associate professor position you should also have academic
-
. The job You will be a key contributor to the ongoing projects at DTU Chemical Engineering. Our large, well-equipped laboratory is used daily by both PhD students, Postdocs, researchers, and students, and we
-
expectations of you You are an experienced software engineer or research developer with a proven track record of delivering software solutions for complex engineering problems. Your qualifications include: PhD
-
. Our expectations of you Strong scientific background – a PhD within biomedical imaging, radiopharmacy, radiochemistry, or similar. 15+ years of research experience in preclinical imaging and 3+ years
-
Computer Science and a PhD or equivalent within structural optimization. Preference will be given to candidates with experience within large-scale topology and/or shape optimization and HIP based clusters