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to compute the predicted ZTs via first principles calculations. - Computer simulations: ML + DFT - Scripting (Python) - Analysis of the results + writing publications - The position is part of an ANR-DFG
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research groups and contribute to their research, which is often published in high impact scientific journals. See the latest publications, and learn more about the platform, here: https://cbmr.ku.dk
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, computer vision, or forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and
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experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability. Domain expertise in NLP, computer vision, or speech processing. Proficient in Python
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in data analysis with proven experience with programming in Python Be skilled in experimental work Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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data through XML files, RDBMS, REST APIs, and flat file sources Excellent programming skills such as Python, R, C/C++, Java, Shell and Perl Familiarity with cloud data platforms such as Snowflake Expert
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, PowerPoint etc) is required Computer programming and data analysis skills are a plus (R, python, SQL, Excel, SPSS etc). Strong communication skills Recruitment process Internship opportunities: We encourage
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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, Tableau, Excel, Python, Adobe Illustrator, and others as necessary. Minimum qualifications: Education: Bachelor's degree in a related fieldplus proven/relevant experience Preferred Qualifications: Masters