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analysis. Required Qualifications* A PhD in hydrology, water resources engineering, environmental science, civil engineering, atmospheric sciences, computer science, or a related field is required either
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hydrologic modeling and analysis. A PhD in hydrology, water resources engineering, environmental science, civil engineering, atmospheric sciences, computer science, or a related field is required either
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: Experience with generative AI deep learning and active involvement in data science and machine learning projects. Experience in neural network architecture, cloud computing, and database development and
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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Computer Science or other related areas. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a cover letter and curriculum vitae and include
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(Python, JavaScript), deep neural networks and computer vision; Design and implementation of database systems; Design and implementation of application programming interfaces, server-based and cloud
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and present at scientific conferences Qualifications Basic Qualifications PhD in Computational Biology, Bioinformatics, Computer Science, Human Genetics, Toxicology, or related field (summer and fall
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, you will be contacted. Required Job Qualifications A PhD in Atmospheric Science or a related field, including chemistry, physics, computer science, and engineering. Preferred Job Qualifications