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in English (written and spoken) and willingness to work as part of a team Familiarity with Python, MATLAB or similar for data analysis Familiarity with numerical modeling tools (e.g. OpenSees, Abaqus
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, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn
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behavioral data processing and analysis across multiple neurological disease models or may focus on a specific disease of interest. Basic knowledge of Python or MATLAB programming would be highly appreciated
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proficiency in programming (preferably Python) are essential. Prior exposure to one or more of the following: machine learning, information security, modern crypto systems will be an advantage
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Python, MATLAB , or similar languages for data processing, statistics, and visualization. · Substantial hands-on experience with systems neuroscience methods, such as: o High-density MEA
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editing Single-cell sequencing technologies or immunopeptidomics Transcriptomic or genomic data analysis (R/Python) We offer you A fully funded PhD position within an ambitious and collaborative
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related field Strong programming skills (R and Python required; PyTorch/JAX/TensorFlow preferred) Demonstrated track record of first-author publication(s) Preferred: Experience with single-cell or
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applications (e.g., training, fine-tuning, deploying models). Strong background in Python and experience with machine learning frameworks such as PyTorch or TensorFlow. Prior experience integrating LLMs into
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surface dynamics Develop and apply Python-based image/data analysis tools for large time-resolved TEM datasets Establish quantitative links between 3D atomic structure, dynamics and catalytic functions of
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<span lang="en">Constructor University Bremen</span> | Bremen, Bremen | Germany | about 23 hours ago
research environment
Preferred qualifications:
- Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS