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compression of high-dimensional data. It is possible to write a Master's thesis. What you bring to the table Degree in computer science, mathematics, physics or a comparable field of study A good understanding
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, information technology, (medical) informatics, applied mathematics, physics or similar Interest in the design and implementation of software for robot systems Basics of computer science such as algorithms, data
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degree (e.g. master’s degree) in computer science, mathematics, telecommunications, electrical engineering, or a related field Creativity and interest in new technologies and scientific work A team player
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The Lichtenberg Professorship in Political Sociology aims at establishing an innovative research program for the study of political conflict, social movements, and civil society. It systematically
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into the communication system, documentation and testing of IP cores What you bring to the table Full-time students of electrical engineering, computer science or similar field with good to very good grades Professional
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Application Deadline 9 Jun 2024 - 21:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to
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University Professor of Numerical Mathematics Salary grade: W3 or equivalent Reference code: W3 NumMath Bewerbungsende: 13.06.2024 Responsibilities: The successful applicant will cover research and teaching in the field of Appointment requirements: Governed by Section 100 of the Berlin Higher...
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The position is located in the Mineralogy-Petrology group (Prof. Dr. John) at the Institute of Geological Sciences, whose research focuses on the thermodynamics of fluids and rocks, fluid flow
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Tasks Collection, annotation and structuring of data Programming, training and analysing deep-learning-models Your Profile University degree in chemistry, informatics or a comparable course of study Very
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excellent degree (Master of Science or equivalent) in Machine Learning or a related field A solid theoretical foundation and practical experience in machine learning Experience in training and evaluation