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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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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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. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 11 days ago
. Previous experience collecting behavioral data on primates or social animals in natural settings. Background knowledge on animal behavior and statistical analysis. Experience with the scripting program
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programming skills. Your tasks in detail: Supporting research work in the field of welding technology and data processing Application and support of welding simulation software (FE software) Participation in
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(bioinformatics, computer science, genetics, or a related field) Excellent advanced scientific degree (PhD) in bioinformatics, computer science, computational biology or a related STEM field; prior working
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from models. Your Qualifications / Experience: • A Bachelor or Master in computer sciences, engineering, physics, mathematics, or a related discipline • Work experience in data management and scientific
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engineering or a comparable subject with natural sciences background. You have basic programming skills, preferably in Python. You have good language skills in German or English. You enjoy experimental and
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of Mathematics, Computer Science and Natural Sciences We are inviting applications for the position of full professor in the area of geometry and probability for high dimensions, to be filled as soon as possible
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. Research Focus The rise of powerful Large Language Models (LLMs) and autonomous AI agents is set to fundamentally change the practice of software engineering. As AI evolves from simple co-pilots to agents