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related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series analysis, or NLP Excellent English; German or French is an asset
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approaches. The research will also design a European-scale turbidity and sediment monitoring framework combining in situ observations and satellite remote sensing. Where to apply Website https://jobs.unibas.ch
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(https://www.unibas.ch/en/Research/Values-Ethics/Diversity-and-Inclusion.html ), we are committed to sustain and promote an inclusive culture, ensure equal opportunities and value diversity and respect in
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modelling and analysis is a strong asset. You are proficient working with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI
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Biomedical engineering Physics or Applied mathematics You present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing programming skills (Python, C
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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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Solid skills in statistical modeling & probability theory Experience in coding (Python, R, Julia, Matlab...) Motivation to work closely with experimental researchers Curiosity about biological systems
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of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking for a highly-motivated and self-driven PhD candidate. The group utilizes
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must be able communicate fluently in English and have preferably a B2 level of German or French. Basic programming skills (e.g., Python and/or Matlab) are expected. Your workplace and main supervisor (Dr
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senior members in the lab, and at the same time to play an active role in shaping and creating inspiring research and working environment. In line with our and Uni Basel values (https://www.unibas.ch/en