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foundations in machine learning, linear algebra, probability and optimisation; and strong Python and PyTorch (or comparable framework) skills. Only applicants who demonstrate substantial hands-on experience
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data science. Fluency in English and Python are required. Fluence in Rust/C++, experience working with deep learning software stacks, extensive software development experience, and knowledge of machine
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companies. Writing well-documented, reproducible code and contributing to open-source Python packages released alongside the methods papers, including close collaboration with the second postdoc on a
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redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details The SDU Adaptive Intelligence Lab (ADIN Lab) ( https://adinlab.github.io/ ) located
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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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analysis skills (e.g. Python, machine learning methods). We are looking for a person who can work independently but also thrive in a collaborative project team. It is an advantage, but not a
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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental understanding of energy-conversion systems, thermodynamics, electrical engineering, heat and mass
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machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph representation learning. Programming skills (e.g., Python) and experience with deep learning
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section "What we expect" below. Read more about the network at https://e-core.nws.cs.unibo.it/ . What we offer E-CoRe is a European doctoral network on reversible computing. Reversible computation