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Field
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of mathematical modeling and data analysis. Experience of programming languages and tools commonly used in biophysical or agricultural modeling (e.g., Python and R). Familiarity with food system resilience
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Python. Strong interest in combining computational and experimental chemistry. Excellent knowledge of written and spoken English. Excellent communication skills, especially for collaborating with others
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the programming language Python. Experience in computational chemistry. Basic knowledge about homogeneous catalysis. Strong interest in combining computational and experimental chemistry. Excellent knowledge
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Matlab/Python/LabVIEW, with an added advantage of specific experience in popular deep learning frameworks like PyTorch and TensorFlow. Demonstrated capability in independent research, exemplified by
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-varying signals (e.g., acoustic signals, movement tracking). Coding experience (e.g, MATLAB or Python). Intrinsic motivation to conduct research in the topic of the project. Committed to working
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competitive advantage. You have (basic) bio-informatics skills or are willing to learn. Prior experience with FLIM (performing experiments and data analysis using FLUTE, Flimfit, SPCImage, napari, Python
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background in machine learning, including Natural Language Processing. You have excellent coding skills in Python; hands-on experience in deep learning frameworks such as PyTorch or Tensorflow is a plus You
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defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
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or Python). Intrinsic motivation to conduct research in the topic of the project. Committed to working autonomously in an interdisciplinary team setting. A demonstrably excellent written and spoken command
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chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with the programming language Python. Experience in computational chemistry. Basic