Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
reproducible workflows. To this end, experience with workflow management systems such as Snakemake or Nextflow is essential, enabling you to create robust, shareable, and publication-ready pipelines. You will
-
Previous experience in protein biochemistry, LC/MS based mass spectrometry Previous experience in handling omics data analysis using software Experience in R and python is a plus but not mandatory Good
-
Program Application Portal. Your application should include: a cover letter, a CV and a list of publications combined in one pdf file, a summary of previous research experience, a statement of your interest
-
-tolerance Your profile: university PhD in biochemistry, biology, or a related discipline experience in plant (phospho-)proteomics and metabolomics expertise in recombinant expression and purification of plant
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Center for Molecular Bioengineering (B CUBE) (https://tu-dresden.de/cmcb
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Center for Molecular Bioengineering (B CUBE) (https://tu-dresden.de/cmcb
-
infrastructure, or regulatory processes. For this position, we expect: A completed university degree, for example master’s degree or equivalent Demonstrated experience in science and project management, research
-
instrumentation with a proven track record in terms of research output and acquisition of third-party funding. Experience in teaching and mentoring are highly valued. The future professor is expected to be
-
research, and are committed to making significant contributions to society. Applications are invited at the rank of Assistant Professor, Associate Professor, or Professor, based on the candidate’s experience
-
in transcriptomics, epigenomics, and/or genomics Strong analytical skills, as well as broad experience with scripting languages (e.g., Python, R, Bash); knowledge of common bioinformatics software and