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environment who will supervise the PhD and collaborating with the rest of the Doctoral Network fellows. Where to apply Website https://cv.newton-6g.eu/ Requirements Research FieldEngineering » Electrical
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understanding of human genetics. Knowledge of DNA and RNA sequencing analysis, of programming languages such as R, Python, or Bash script, and of bioinformatics pipelines for genomic data analysis is essential
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advanced analytical skills including statistical programming in Python, Stata, R, and/or SAS • Excellent communication and presentation skills • An ability to work both independently and in teams Benefits
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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, and sleep stages using Python Contributing to and shaping cross-species computational modeling Leading publications and presenting results at international conferences Mentoring junior researchers and
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
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, religiosity, trust in local leaders). The candidate will be supervised by Prof. Francesco Ferlenga The successful applicant should have: Proficiency in programming languages (Stata, R, Python, …), excellent
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skills in Python and/or R. Experience with Google Earth Engine. Ability to work both independently and collaboratively in an international research team. Ability to write and communicate in English
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include designing and implementing full-stack applications, spanning backend services, APIs, and open-source software, with a primary focus on Python-based, scalable, and robust systems deployed in cloud
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Appointment Term: 2 years Appointment Start Date: July 1, 2026 Group or Departmental Website: https://ed.stanford.edu/faculty/ksadow (link is external) How to Submit Application Materials: Fill out