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Qualifications Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or a related field Proven experience in the analysis of single-cell or spatial omics datasets Strong programming skills in Python and
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Quantification Python and ML frameworks (TensorFlow, PyTorch, JAX) Reproducible and open-science practices Experience with geospatial, environmental, or climate data is advantageous but not required. What We Offer
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skills with the ability to connect theoretical modeling to practical, experimental data. experience with relevant computational tools (e.g., MATLAB, Python, or similar scientific programming environments
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Neural Networks Deep Learning and Uncertainty Quantification Python and ML frameworks (TensorFlow, PyTorch, JAX) Reproducible and open-science practices Experience with geospatial, environmental
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programming skills in Python and/or R Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Excellent problem-solving, organizational, and communication skills Demonstrated
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datasets. Proficient in Python and the various numerical packages (e.g. NumPy, Pandas, etc) Ability to work both independently and as a part of a team. Excellent communication and writing skills in English
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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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with AI/ML implementation, particularly for sensor data processing, feature learning, or autonomous system control Solid software development skills in languages such as Python, C/C++, or similar, with
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in Python are essential, along with good writing and communication skills in English. The ideal candidate should demonstrate initiative and be comfortable working collaboratively in a team setting. A
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aeroelastic code HAWC2. Proficient in Python and the various numerical packages (e.g. NumPy, Pandas, etc). Ability to work both independently and as a part of a team. Excellent communication and writing skills