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Field
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/NS3, supported by strong software programming skills in either Matlab, Python, or C/C++. Selection process Selection criteria: Curricular evaluation (100%) - the evaluation of the application will focus
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(preferably with Python). Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 19 days ago
on the development of optical models, image acquisition software, image processing algorithms, and deep learning algorithms using Zemax, Python, Matlab, LabVIEW, CUDA, and other programming environments. Training
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programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical analysis and data processing using relevant statistical software. Experience
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analysis workflows (Python and/or Julia-based; HPC-oriented handling of large datasets). Depending on competence: contributing to research software development supporting simulations and/or data workflows
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reputable international venues). Experience in program analysis, intelligent software systems, or LLM-based code intelligence. Strong programming skills in Python and/or C/C++. Ability to work independently
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Publication track record is an advantage Proficiency in basics of programming languages such as ROS and Python Excellent communication skills, written and verbal – able to communicate complex concepts clearly
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, environmental sciences, geoinformatics, or a related discipline. Proficiency in advanced learning techniques and statistical modeling. Strong programming skills in languages like Python or R. Professional
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Python, experience in research data management (including database management, documentation and version-controlled workflows), and knowledge and experience in Computational Linguistics. It is desirable
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; sound programming skills, with a strong preference for MATLAB; experience in other scientific programming languages (e.g. Python, R) is also valued; familiarity with international macroeconomic and trade