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to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist for methods development in
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independent origins of aquatic locomotion. 2) Phylogenetic and Evolutionary Analysis: Use phylogenetic comparative methods to test whether limb reduction in aquatic lineages follows a constrained developmental
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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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are the following: Obtain and maintain regulatory approval. Set up screening algorithms to identify eligible participants. Recruit participants, collect/ process samples. Design data collection tools (e.g., redcap
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systems. · Exploring the evolutionary diversity of Cas13 effectors and their implications for technologies. The successful candidate will receive interdisciplinary training in CRISPR-Cas systems, RNA
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++ programming ● Problem solving skills and ability to think algorithmically ● Excellent interpersonal, verbal, and written communication skills Preferred Qualifications Equipment Utilized Workstation/laptop
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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). - Quantum algorithm design. - Error correction or error mitigation. Certifications/Licenses Required Knowledge, Skills, and Abilities Strong background in quantum chemistry, computational physics
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patients from public repositories (including dbGaP). Develop and apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic response in prostate cancer