Sort by
Refine Your Search
-
, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department og Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
-
programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
-
learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch
-
machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
-
prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
-
) Familiarity with using R and/or Python for answering biological questions (desired) WE OFFER: An international, multidisciplinary, and creative working environment Innovative technologies Excellent
-
participation in the establishment of a junior research group on R&D in this field is explicitly desired, as is intensive co-operation with the Faculty of Physics and Astronomy of the Friedrich Schiller
-
and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities
-
related field experience in the analysis of high-dimensional biological or medical datasets, ideally in the context of omics technologies proficiency in R/Bioconductor for statistical computing and analysis
-
/or genomics is required Strong analytical skills as well as broad experience with scripting languages (e.g. Python, R, Bash); knowledge of common bioinformatics software and access to databases