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holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C
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, or other omics data analysis approaches Programming skills in R, Python, or equivalent Ability to work independently while flexibly contributing actively to an interdisciplinary research team
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/Python (spatial data processing, zonal statistics, raster/vector integration). ○ Experience or interest in conducting qualitative or mixed-methods stakeholder research (e.g., focus group facilitation
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for classification or decoding of neural data - programming skills, especially Python Additional Information Benefits What can you expect from us? 232 vacation hours per year, based on a 38-hour workweek (1.0 FTE
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related field. Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches for data analysis. Knowledge of Machine Learning
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Python and/or C/C++/Fortran. Strong motivation to work in an interdisciplinary environment at the interface of theoretical chemistry and quantum technologies. High level of self-motivation, commitment, and
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developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python programming Excellent written and oral
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: Computer Science or Computer Engineering; • PhD: Computer Science or related fields within the last 7 years; • Knowledge of: Python, DL, CV, Transformers, LLMs, NLP; • Relevant scientific publications; • English
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language (C++, Python, Rust, …) One high-quality first-author paper (journal or top-tier conference) You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research
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cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply: Please send a