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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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evolutionary biology. The candidate will support research efforts related to artificial intelligence methods development, origins of life research, evolutionary biology, and computational biology. The candidate
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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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highly valued. Ability to collaborate well with a team, and experience working in a university environment. Foundational understanding of data structures, algorithm design, or object-oriented. Experience
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, implementation, and evaluation ● AI in public management, government operations, and public service delivery ● Algorithmic decision making, accountability, and transparency ● The responsible and ethical use of AI
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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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duties of the position are the following: Reveals evolutionary and developmental mechanisms of the fish-to-tetrapod transition combining functional genomics, developmental biology, and comparative anatomy
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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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datasets and data models ● Experience working with a DBMS in both on-cloud and on-premise environments ● Experience in C++ programming ● Problem solving skills and ability to think algorithmically