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Field
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, transformer-based models), including experience with their application to biomedical and biological data; - Experience with machine learning frameworks and programming languages (e.g. Python) for handling large
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statistics and/or machine learning Specific knowledge • Proficiency in scientific computing • Knowledge of machine learning packages in Python or R • Proficiency in English (minimum level B2), as the postdoc
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or Python. Experience of and interest in collaboration with international partner organisations and professional representation at national and international events. Interest in method development and
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studying transcription factors and chromatin (ATAC-seq, RNA-seq) and/or programming skills in languages commonly used in bioinformatics (Python or R, etc) are highly encouraged. Previous postdoctoral
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. Knowledge in fluid mechanics would be a plus Proficiency in Python (at least, one among: Julia, Matlab, or R) Knowledge n Fortran (or C) Being comfortable with version control and code sharing tools (git
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in artificial intelligence and machine learning, particularly for control applications Proficiency in Python Strong analytical and problem-solving skills Ability to work independently and
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river delta models. Demonstrable ability to use programming languages such as Python, Julia, C, C++ or Fortran. Familiarity analysing functional diversity and/or geomorphological information. Curiosity
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(bulk and single-cell) Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake) To work accurately and being
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
medical image analysis, machine learning, or artificial intelligence. Strong programming skills in Python, MATLAB, or related languages. Excellent written and verbal communication skills. Ability to work
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data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in a