104 parallel-processing-bioinformatics-"Multiple" positions at University of Southern Denmark in Denmark
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
these intricate immunological processes. Using advanced bioengineering methods and innovative molecular tools, this project aims to: Develop robust 3D skin-on-a-chip models incorporating genetically engineered
-
or structural bioinformatics are not encouraged to apply. The successful candidate(s) will have access to state-of-the-art supercomputing resources in Denmark and Europe. Contact: hkhandel@sdu.dk Application
-
perception. Cilia dysfunctions result in rare human diseases known as ciliopathies that affects multiple organs leading to clinical manifestations such as blindness, deafness, obesity, mental retardation
-
areas. At least one first-author publication, accepted or submitted Strong analytical, organizational, and record-keeping skills Proficient computer skills, including MS Office and research software
-
sensory perception. Cilia dysfunctions result in rare human diseases known as ciliopathies that affects multiple organs leading to clinical manifestations such as blindness, deafness, obesity, mental
-
descriptions, the candidate will develop detailed mode-, simulation, and data-based control strategies to carry out the required production operations, including multiple robots, tools, and sensors. Facilitating
-
-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
-
IT. Tasks will include: performing ad hoc administrative and practical tasks, especially in relation to application writing and fundraising processes interacting with external partners regarding
-
genomics, bioinformatics, and biomedicine. Contribute to the publication of research findings in high-impact journals. Gain hands-on training in cutting-edge and multidisciplinary research. Required
-
the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with