Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- ;
- Aalborg University
- ; Technical University of Denmark
- Copenhagen Business School , CBS
- ; University of Southern Denmark
- Copenhagen Business School
- European Magnetism Association EMA
- 2 more »
- « less
-
Field
-
determine ideal nano-composites for permanent magnets. In collaboration with Aarhus University, you will get to validate your modelling results against experiments. You will also get to supervise a PhD
-
on sharing knowledge with an open mind. You will also need your systematic approach to project work and planning. Additionally, your CV comprises: Solid knowledge and hands on experience with heterologous
-
development and application of single-cell proteomics by MS (scp-MS) workflows Advanced computational/bioinformatics analysis skills Experience with mammalian cell culture techniques, ideally including
-
successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
-
conducting in vitro biosafety experiments: cell viability, hemocompatibility, complement activation Performing in vivo biodistribution and clearance studies in mice Monitoring biochemical markers and
-
background in enzymology and/or biocatalysis (protein expression and purification, enzyme characterization, enzyme kinetics), Practical experience in molecular biology techniques, especially those related
-
-record within the field of observational research. Experience with programming is preferred, and some experience with data science or AI will be considered a strength. Further, the candidate should
-
to: Relevance of background experience. Passion for research and scientific discoveries. Proficiency in written and spoken English. As a formal qualification, you must hold a PhD degree (or equivalent). We offer
-
Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
-
are looking for candidates with: A PhD in electrical engineering, biomedical engineering, physics, or a related field Strong programming skills in LabVIEW and C++, with experience in real-time control systems