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(ISAC) Implementation of a DSP library in Python Technical documentation and maintenance of the software Experimental verification of the software via simulations Working with our hardware team
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good knowledge of Python Experience with machine learning, in particular with neural networks and their implementation (PyTorch, TensorFlow or similar) Motivation and Initiative Residence in Berlin and
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science is advantageous. Experience in high performance computing using Linux systems is desirable. You have very solid programming skills (python and / or similar). You are an effective team player with a
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and databases is advantageous Proficiency in programming with C and Python (especially in the context of open-source software projects) Basic knowledge of HTML, CSS, or similar technologies
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or related fields Strong interest in machine learning Basic knowledge of Python and common machine learning libraries Basic knowledge of electrochemistry and battery technology or willingness to learn What we
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change You will work on the design, simulation, and testing of digital control concepts (e.g., using MATLAB/Simulink or Python) You will implement these on FPGA boards and evaluate them in terms
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. Experience in careful, practical work in the laboratory is desirable. You have basic knowledge of solar cells and semiconductor physics and are already familiar with laser technologies. You have basic Python
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Integration of simulation and measurement data into interactive or VR environments Data processing, signal analysis, and visualization (e.g. in Python / MATLAB) You are not expected to be an expert in all three
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Assistant in Python / 3D Gaussian Splatting. Become a part of our team and join us on our journey of research and innovation! Be part of change • Further development of our 3D gaussian splatting/processing
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and very good English language skills (written and spoken) Solid programming skills in Python Structured, independent, and reliable way of working What we offer Opportunity to contribute your own ideas