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/Qualifications Strong research track record in AI and scientific applications. Excellent knowledge of Machine Learning and Deep Learning. Strong Python programming skills. Experience with PyTorch, TensorFlow
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Assist with preliminary data review and analysis using tools such as LabVIEW, MATLAB, Python, Microsoft Excel, or similar software. Activities may include plotting pressure and flow data, comparing
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Systems, Including Sorting, Reuse, Recycling And Processes Automatization For The Recovery Of Critical Materials (MEDINSPAIN) – Ref. PLEC2024-011140 ( https://deustotech.deusto.es/project/medinspain
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of database and web-based systems. Knowledge of Python/Java and object-oriented programming is required. The ability to work as part of a team and have good communication skills is also required. The post
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, and instrumental data. Programming primarily in R, with possible use of Python and MATLAB. Development and maintenance of R packages and reusable analysis pipelines. Maintenance of group GitHub
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journals. Where to apply Website https://www.academictransfer.com/en/jobs/362474/postdoctoral-researcher-in-cogn… Requirements Specific Requirements We are looking for a candidate who: holds a PhD in
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machine learning techniques Work with structured data and drive innovation in unstructured data architecture and analysis Work with statistical programming language, like R or Python, and database querying
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experimental data acquisition system (LabView, etc.) and programming skills (Python, etc.) for data analysis would be a plus. Familiarity of cryogenics is not necessary. Intrinsic orientation for research and
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analysis (e.g. Soldis, Robot, Abaqus) and algorithmization of engineering problems (e.g. SciLab, Matlab, Mathematica, Python). Required documents: Candidates entering the recruitment process are requested
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The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences | Poland | about 2 months ago
field; proficiency in Python, including familiarity with its scientific computing libraries; knowledge of machine learning methods and techniques, particularly deep learning; research experience in