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or Python). A good standard of written and spoken English as well as a driver’s license are mandatory. Good writing skills and the ability to work in an interdisciplinary environment are expected. We offer
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-impact resource that improves mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values (https://www.unibas.ch/en/Research
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engineering and local IT administration for the AICH group: Research Engineering (approx. 60%) Develop and maintain data pipelines and reproducible ML/AI workflows (Python). Support clinical data ingestion
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(spike sorting, calcium imaging, long-term tracking). • Experience with behavioral tracking and multimodal dataset integration. • Proficiency in Python, MATLAB, scientific computing, and pipeline
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title: PhD in Sciences, Mention Physics or Environmental Sciences PHD Country: Suisse Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/134652 Requirements Specific
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automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R Understanding of assay
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engineering, geophysics, computational science, mathematics, physics or a related field The successful candidate has strong analytical skills and programming experience either in Python, or C/C++, or equivalent
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remote sensing is required. Experience in working with multimodal data fusion and high-resolution remotely sensed data is required. Proficiency in programming, particularly in Python, is essential
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. Electrical Engineering) strong mathematical understanding experience in programming, preferably in Python prior experience in related topics, such as machine learning, optimization, or privacy Furthermore
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
understanding of maths and physics experience in programming, preferably in Python prior experience in machine learning, computer vision and remote sensing and strong interest to apply these skills