Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
consideration will be given to bioinformatic skills, prediction models and experience within the area of the PhD as outlined above. Due to the need of reviewing clinical records, you’ll need to be fluent in
-
on the bioinformatics program. Qualification requirements Appointment to this career development position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
-
and research in the field of chemistry. PLE has around 150 employees, of which around 65 are PhD students. The department offers a broad competence in areas such as chemical engineering, food technology
-
-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses
-
project where you will work at the Cytiva Solna and Elofsson lab environments, both located at the Solna Campus. Upon successfully completing the 4-year project, you will obtain a PhD in Bioinformatics from
-
collaboration with other researchers. Your profile • Formal requirement: Doctoral degree (PhD) in quantitative genetics, tree breeding, biometrics, statistical genetics, bioinformatics or related field
-
well as with experimental data. A suitable candidate may focus on a specific expertise, such as bioinformatics. The main work will concentrate around sarcomas, but our solutions are generic and may be applied
-
environments. • Self-motivation and curiosity, with a strong drive to explore new research directions independently. The following education, experience and expertise are required: A PhD degree in bioinformatics
-
) or equivalent skills and experiences, have completed a PhD on a geo- or bioscience topic related to aquatic sedimentary environmental reconstruction, and can demonstrate internationally recognized scientific
-
To qualify for the fellowship, the candidate should hold a PhD degree in one or more of the following fields: computational biology, systems biology, microbiology, bioinformatics, or related areas. The ideal