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skills (Python/MATLAB/R) and reproducible workflows Surface chemistry / biomolecular functionalization is a plus What you will do Take courses at an advanced level within the Graduate school of Biosciences
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communication skills. Good ability to cooperate. Very good knowledge of English, spoken and written. Good programming skills in Python and/or C++. Other qualifications For the doctoral programme in question
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to the third-cycle studies, e.g. professional experience. Knowledge of computer vision. Knowledge of deep learning. Good programming skills in Python or C++. Experience with machine learning frameworks such as
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with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy. Experience in DNA repair assays, cytogenetics, plant functional genetics
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, genetics, plant biology, or a related field, and have documented familiarity with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy
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training and experience in statistical analysis, coding (e.g., R, Python or similar), and Geographic IT (e.g., GIS, spatial analysis and modeling). Ability to work both independently and collaboratively
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Python and/or R for bioinformatics and ability to write clean, reproducible, and well-documented code for complex multi-step pipelines. have documented experience from cancer research. Additional
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analysis, and biology, as well as Python and R programming language (critical). Previous experience analyzing high-resolution spatial VDJ/transcriptomics, long-read sequencing, single-cell transcriptomics
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, mathematics, applied mathematics, computer science, biomedicine, biotechnology, or another relevant field. Documented experience in programming or quantitative data analysis, for example in Python, MATLAB
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous