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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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statistical software such as R, Python, SPSS, or Stata. Affinity with issues of climate justice, social inclusion, migration, and/or community-based research. Experience conducting comparative or mixed-methods
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in a physics or electronics lab; completed courses to gain a fundamental understanding of optics and spectroscopy; at least basic programming skills (e.g. in Python or Matlab); experience with data
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related field with a strong quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably
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data science, biomedical engineering, technical medicine, or a related field. You should have strong programming skills (Python, PyTorch), deep learning knowledge (multimodal learning, longitudinal
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related field; a solid understanding of molecular genetics, glial and myelin biology and rare neurological diseases; experience with either iPSC culture and differentiation or programming (Python and/or R
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; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
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for VR, simulation, digital twins, or interactive applications. Experience with robotic systems and robot programming. Experience with UR or Franka robots, ROS/ROS2, TypeScript/Node.js, Python
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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. You have good programming skills, preferably in Python, and are able to independently write and adapt code for data processing, analysis, and visualization. Experience with deep learning and frameworks