1,239 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions in Germany
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for the following position at the Chair of International Health and Medical Law and Data Protection Law (Prof. Dr. iur. Fruzsina Molnár-Gábor), initially limited for a period of one year: Research Assistant (f/m/d
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can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options: https
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the acquisition and implementation of national and international research projects What you contribute Completed master's degree or PhD in computer science, IT security, or a related field In-depth knowledge
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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, or Engineering. Do you have experience of numerical modeling of atmospheric processes and are you already familiar with meteorological topics? Can you program in Python or Julia? Ideally, you also have some data
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Resarch Assistant (all genders welcome) Entgeltgruppe 13 TV-L/100% to be filled. Starting date is 10/1/2026. The position is for two years. Your duties • University teaching as defined in Section 31
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, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong research interest in telerobotics, shared control, human–robot interaction, or networked control
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for the master thesis project "Centriole duplication" at the Center of Molecular Biology and Center of Organismic Studies, Heidelberg University, Germany, Groups of Drs. G. Pereira, S. Pfeffer and E
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uploaded to the DAAD portal: Master's degree programme/postgraduate study programme leading to a final qualification: Form "Information about your preferred master programmes" . Please note that only
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 1 hour ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience