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in full-time studies in the fields of computer science, mathematics, physics, electrical engineering or related courses with good to very good grades Programming experience, especially good to very
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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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, domain generalization, data-efficient learning, uncertainty estimation, 3D vision. Especially suitable for students with the field of study in computer science, mathematics, engineering, or similar areas
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in teams Good language skills in English Good communication skills Ability to be on-site approx. once per week Especially suitable for students with the field of study in computer science, mathematics
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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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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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Study of mathematics, computer science, geoinformatics, physics, electrical engineering, or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as
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of efficiency, training performance or inference behavior What you bring to the table Enrolled Bachelor's/Master's student in full-time studies in the fields of computer science, mathematics, physics, electrical
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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machine learning methods based on specific problems The targeted visualization of results is also within your area of responsibility What you bring to the table You are studying physics, mathematics