Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- University of Copenhagen
- Aalborg University
- Technical University Of Denmark
- Aalborg Universitet
- Aarhus University
- DTU Electro
- Danmarks Tekniske Universitet
- Technical University of Denmark;
- NKT Photonics
- Technical University of Denmark (DTU)
- Technical University of Denmark - DTU
- University of Groningen
- 5 more »
- « less
-
Field
-
research field Hands-on experience with human iPSC culture and differentiation into neural cells Practical experience with CRISPR-Cas editing Hands-on experience with cloning techniques Additional desirable
-
. Expertise in either computational biology (e.g., bioinformatics, machine learning) or experimental proteomics, with a strong willingness to learn the complementary skill set. Experience in collaborative
-
experimental observations of fatigue and corrosion fatigue failure in AM samples. The goal is to establish causal pathways for understanding failure in AM components. The position will involve development
-
optimization techniques. Implement computationally efficient optimization methods to solve the developed models for realistic problems from practice. Conduct experiments and benchmarks and report results. Write
-
team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
-
experience a lively research environment with other PhD projects that are related to yours. You will have access to world-class facilities and experienced, internationally recognized staff with opportunities
-
months at the Technical University of Munich (Germany), gaining international research experience and expanding your collaborative network. As part of your research, you will: Design responsive-switchable
-
metastasis. The position combines hands-on experimental work with data-driven analysis and offers close collaboration across academia and industry. Your primary tasks will be to: Develop and optimize nano
-
degree in the fields of material science and engineering, environmental engineering, chemistry, chemical engineering, and mechanical engineering. Experience with polymer materials, membranes or waste
-
, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab