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computationally and developing scientific software. Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other
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seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB) and willingness
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. Prior experience with DFT-based electronic structure calculations or other computational quantum-mechanical many-body techniques. Programming skills in either Python, Fortran, or a comparable programming
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engage with clinical, industrial, and academic partners Experience and strong research interest in one or several of the group’s research focus areas Programming skills in Python/MATLAB, C/C++ and
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analysis in Python is advantageous Previous experience with imaging (especially computed tomography) and/or image analysis is advantageous Excellent communication skills in English (oral and written) are a
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). Hands-on laboratory experience with lasers, optics, or photonic devices. Skills in experimental data acquisition and analysis (in Python). Motivation to combine computational modeling with experimental
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, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML deployment
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physics, optics, photonics, materials science, or a related field. Strong experimental skills in optics, spectroscopy, microscopy, or related areas. Experience in programming and data analysis using Python
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, or similar Proficient knowledge of and previous experience with R and Python, survey design, experimental design, field experiments and quasi - experiments are an added value Strong interest to work in
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bring strong programming skills with languages like Fortran, C, R or Python. Prior experience in the field of process-based modeling, e.g., climate modeling, is an asset. For both projects, fluent