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Field
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, engineering, computational science, a physical science (materials science, chemistry, physics etc.), or related field. Hands-on experience with AI frameworks and employing large language models. Strong Python
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. Basic proficiency in using Python and/or command line interface (CLI). Basic understanding of raytracing and optical design. Experience with SharePoint, SolidWorks PDM vault, GitHub. Required Documents
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’ datasets. • A hands-on experience with large-scale human omics (preferably related to neurodegeneration) studies is expected. • He/she would have solid skills in at least one programming language (R, python
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Python and/or R are essential. Excellent communication skills and the ability to collaborate effectively in interdisciplinary research environments are also required. This is a full time, fixed term post
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advanced analytical skills including statistical programming in Python, Stata, R, and/or SAS • Excellent communication and presentation skills • An ability to work both independently and in teams Benefits
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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team and train others Proficiency with computer programming (e.g., MATLAB, Python, R, etc.) Desirable Qualifications: Experience using preprocessing and postprocessing pipelines for resting state
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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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learning; software development Preferred Qualifications: Excellent academic writing ability on quantitative topics Familiarity with relevant software environments (e.g., R, Python, SPSS) Expertise in
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling