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: Frameworks such as Flask/Laravel, PHP, Python Front end frameworks like React or Vue, Gitt, Kubernetes/containerization Working with databases such as MySQL/MariaDB/PostgreSQL/MSSQL. It will be an advantage
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of computer science, natural science or another related field. We are looking for a candidate who has documented experience working with Python and SQL Configuring database servers and stand up OLAP systems. Designing
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, Grasshopper, Python). Explore new trajectories for the advancement of AI-supported integrated architecture and its potential impact on the build environment. Contribute to developing open-source tools and code
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interest and solid foundational knowledge in at least one of the research projects Proven competence in computational design workflows, particularly in Rhino and Grasshopper Knowledge of Python, C#, finite
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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should have the following qualifications: Experience in software development, programming with Python, C++, etc. Good/strong knowledge of robot operating systems, robotic control and virtual
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
field Knowledge of freshwater ecology and/or physical limnology Experience with numerical modelling Experience with programming languages, esp. Python, and familiarity in NumPy, SciPy and Pandas
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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
analysis is highly prioritized, including also programming skills in R and/or Python. Personal Competencies Independence and Creativity: Ability to work independently and creatively to solve complex
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documented research experience in a related field. The applicant should have experience in one or more of the areas/fields mentioned below Proficiency in programming languages such as Python or R. Experience
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the interdisciplinary lab to bridge environmental concerns and creative design processes. • Investigate the creative process at the intersection of LCA, AI, and early design phases. • Merge Python-based approaches