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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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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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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 4 hours ago
opportunity to apply novel genetic tools to study molecular brain function using optical, ultrasound and magnetic resonance imaging. Our interdisciplinary approach encourages researchers with different
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ETHOS.HiSim, a python package to simulate households and building systems. Identification of techno-economic data for buildings, retrofitting options, heating and cooling systems, and the building stock
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within materials science and engineering. Use cases will be defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD
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cultivation, and PV performance at different sites. You collect sensor data, preprocess the data, and analyze it. What you contribute You are studying mechatronics, microsystems technology, computer
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into the innovative field of hydrogen technology; ideally complemented by knowledge in computer science for modeling and simulation (Python/MATLAB/Simulink), enabling you to efficiently analyze complex supply chains
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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analyze acquired data from different sources using Python (or Matlab) Support the integration of the additional sensors on floats and perform regular technical monitoring of the AWESOME floats deployed in
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engineering. Use cases will be defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by