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workbench for chiplet assembly Generation of FE models for different chiplet configurations using the workflow Research and identification of suitable Python modules for Ansys FE modeling automation Use
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, Mathematics, or a related field, and you possess a solid understanding of technical concepts. Programming Skills: You have initial experience in object-oriented programming, particularly with Python, and are
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student with good grades in one of the following programs: Electric engineering, computer science, cognitive science, applied mathematics, physics, neuroscience or a related field A good command of Python
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the Q methodology dataset build an agent-based modelling (ABM) in python or Netlogo visualize and interpret results; prepare a short report or presentation at the end Your qualifications: background in
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infrastructure, and supply chains. Extract, process, validate, and visualize data using MS Office and/or Python. What you bring to the table You are a registered student in the following subjects in natural
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Collection, cleaning, and handling of various datasets for research purposes Performing statistical analysis, e.g., in Stata, R, Python, or similar programming languages Basic standard coding of survey
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background to support us in further developing Heatopia (written in Python) as well as conducting case studies with the software. The position of student research assistant is based at our site in Cottbus
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to the table Study of mathematics, computer science, physics, engineering or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as NumPy, Pytorch, Pandas
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch
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to problems were few data is available. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch, NumPy, Pandas and