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using Python, ASE and relevant DFT software analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and
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necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering design software
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<span lang="en">Heidelberg University, Heidelberg University Hospital</span> | Heidelberg, Baden-Württemberg | Germany | 7 days ago
completed) Master's degree or equivalent in (molecular) biology, biochemistry, neuroscience, bioinformatics, or a related discipline
- Basic knowledge of at least one programming language (Python
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) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques Job
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architectures. The candidate will lead the C++ / Unreal Engine software engineering efforts, ensuring sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted
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Mathematical Institute, the Centre for Immuno-Oncology and the Cancer Research UK Oxford Centre. They will apply and further develop quantitative spatial analysis methods and Python-based workflows using the
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 13 hours ago
the consortium code base. Preference will be given to candidates with a strong publication record and proven experience in Python programming, source code versioning and management, machine and deep
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informatics. We provide access to high-performance computing, secure data environments, clinical imaging data, and software tools (Python, PyTorch/TensorFlow, radiomics, 3D Slicer, DICOM tooling). We
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, Python), and institutional research databases for data management, analysis, and visualization. Supports clinical research activities that includes preparation of IRB protocols, patient data collection
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, transcription factor, pathway, and cell-state analyses. Develop reproducible bioinformatics pipelines and computational tools using Python and/or R. Work closely with Dr. Ren and experimental and