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grids, public clouds, and private clusters for research and software development needs Ability to develop software in multiple programming languages relevant to HPC (e.g. Python, Julia, Rust, C/C
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candidate who has: A PhD in hydrology, environmental engineering, environmental science, geography, ecology, or a related field Strong experience in hydrological modelling Proficiency in R and/or Python
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
: Prepare, clean, and structure multilingual textual corpora (Greek and Latin) Develop and customize NLP pipelines in Python (including model adaptation for humanistic Latin) Implement and evaluate word
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or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning frameworks. Should be comfortable working with machine learning
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performative aspects of dictators’ communication, and it seeks to explain how and why such communication changes across different strategic contexts (such as during different types of crises). Utilizing, among
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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
Spectrometry data analysis: A strong background in mass spectrometry/proteomics data analysis is highly prioritized, including also programming skills in R and/or Python. Personal Competencies: Independence and
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. The candidate should ideally have experience or interest in one or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning
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different bioinformatic approaches to investigate and analyze omics data on immune response (central and peripheral) in people with Parkinson’s Disease, using both internally generated data as well as using
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in DICOM format and applications in pathology are welcome. The applicant ideally has a track record in interdisciplinary collaborations. Solid experience in programming, mainly python is expected
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working