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collaboration agreement with the company. The successful applicant will work on the R&D project on an exclusive basis. The work performed for the university and the company will be distributed in such a way as to
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of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
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medicine, psychology, or similar. Moreover you have: Experience or interest in radiology and/or medical imaging and affinity with biomedical research. Experience with SPSS, SAS, or R is required. Excellent
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and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology, geography, soil science, or atmospheric sciences. Personal qualities: Strong academic drive
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environmental, construction, chemical, geological or closely related sectors. Experience with Python, MATLAB, R, or other programming languages for data processing and statistical analysis. Proficiency in
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closely related sectors. Experience with Python, MATLAB, R, or other programming languages for data processing and statistical analysis. Proficiency in scientific communication and writing. Basic skills
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology
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conducting human studies with human participants including participant recruitment, data collection, and management of data Advanced skills in statistical analysis using software such as R, STATA, or SPSS
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 1 month ago
relevant information from ML models to understand the relationship between in- and output Experience in harmonizing and compiling real-world datasets from diverse sources Experience using Python or R and