Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Bioinformatics, Computational Biology, Systems Biology, Computer Science, Biochemistry related to proteomics and mass spectrometry, or a related field. Strong Python and R skills for omics data processing, QC
-
Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
-
Biology, or a related discipline Proficiency in Python and R, with experience in spatial transcriptomics data analysis and high-dimensional data visualization Demonstrated experience in building and
-
, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological discovery Familiarity with working with Unix/Linux environments An understanding
-
. Assessment criteria It is particularly meritorious that the applicant has shown Programming expertise: Proficiency in Python, R, and/or workflow management systems (Nextflow, Snakemake) Bioinformatics
-
substantial experience in metabolomics data analysis. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or
-
, Computational Biology, Systems Biology, Computer Science, Biochemistry related to proteomics and mass spectrometry, or related field. Proven methodological and research expertise Strong Python and R skills
-
Computational Biology, Bioinformatics, Systems Biology, or a related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or equivalent) for omics data processing, QC
-
equivalent competence. Solid programming skills in Python or R, especially for biological image data analysis and protein expression data visualization Excellent communication skills in English, as required in
-
competitive level. Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a Linux command-line environment and on high performance computer clusters. Excellent