Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
. Proficiency in handling large datasets in R or another coding environment as well as good botanical skills are important merits. We also place great importance on personal qualities, as the candidate will
-
. The region is home to Scandinavia’s largest university hospital and one of AstraZeneca’s three globally strategic R&D centres. New initiatives such as the GoCo Health Innovation City and BioVentureHub
-
ecology, experience with field work, and some experience with data analysis and scientific programming in R or similar software. Consideration will also be given to good collaborative skills, drive and
-
merits; Demonstrated experience of using computer programming languages (UNIX command line and R/python) for multi-omics data analysis. Experience in mentorship of students will also be a merit. Experience
-
and/or PhD students. This role develops skills for academic faculty positions or industry R&D leadership. What we offer Chalmers provides a dynamic work environment in Gothenburg —Sweden’s vibrant
-
programming in, for example, R or Python. Particularly valuable is a research background in ecology, biodiversity, systems biology, or related areas, as well as experience working with time-series data, dynamic
-
or development connected to infection biology, immunology or epidemiology Advanced integration of multiple layers of molecular data sets Programming knowledge in R and/or other programming languages
-
degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
-
neoantigen targeting. Substantial experience working in bash scripting and HPC Linux/Unix environment. Proficiency in programming (preferably Python, SQL, groovy, R, html, JavaScript, and bash). Good knowledge
-
data) and analysis thereof. Documented ability to independently program and perform analyses, for example using the software R. Strong subject knowledge in tumor biology relevant to breast cancer, as