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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and
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knowledge of deep learning, multimodal AI models, Vision-Language-Action models, or related technologies. Proficiency in Python programming and experience with deep learning frameworks such as PyTorch
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phase-field simulations. Experience in developing AI or machine learning models for physics-based scientific or engineering applications. Proficiency in Python, scientific computing and machine learning
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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals
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Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python, linux and HPC. A strong interest in interdisciplinary research. Excellent interpersonal skills
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interactions in the extreme ultraviolet (EUV) regime Develop new, efficient software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining
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) Experience working in Biosafety Level 2 laboratory Experience in computational data analysis, e.g., UNIX-based systems, R, Python, or similar tools for data processing and scripting Physical Requirements
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standard processing software. Analytical and modelling skills with R or Python; experience building automated, reproducible data pipelines. Excellent scientific communication and interpersonal skills
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skills (e.g., R, Python, MATLAB) required. The role calls for a self-driven, independent individual who can log, clean, share, assess, interpret, and write data efficiently to publish in top-tier journals