34 parallel-processing-bioinformatics positions at Aarhus University in computer-science
-
development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
-
& TimsMetabo mass spectrometers Maintain bioinformatic tools related to proteomics and metabolomics Perform data analysis and interpretation Assist users/students in sample preparation for MS-analysis Assist
-
and for pursuing career-promoting research grants. Although not a requirement, the assessment process will place emphasis on experience gained through employment or extended research stays at recognised
-
biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in Molecular Biology, Biochemistry, Cell Biology
-
related genome editing approaches to disrupt biological processes that support prostate cancer progression with a focus on metabolism, hormonal and stress response signaling. Preparing samples
-
. Omics data handling and basic bioinformatics. Personal qualifications The successful candidate will work across plant physiology, molecular biology and microbiology and collaborate closely with the two
-
an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
-
If you need help uploading your application or have any questions about the recruitment process, please contact HR supporter Ulla P. Bjørn, e-mail: [email protected] . Place of work Aarhus University
-
Instagram? We are looking for a student to create authentic and engaging content for the Department of Computer Science’s Instagram channel, @csaudk. You will work closely with the department’s Communications
-
the principal SCS crystallographer. Key responsibilities will include outreach, SCXRD data collection, data processing, structure solution, and user support. To make SCS a success, the successful