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on the Vector Observatory project (https://www.malariagen.net/vobs/ ). Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three
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the fundamentals of machine learning, with the ability to use Python or R. Experience working with messy, real-world data sets. Experience working with text, images, or other non-tabular data formats. Pay Range
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validation (preferred) • Good programming skills (MATLAB, Python, or similar) • Ability to work in an international and interdisciplinary research environment • Good written and spoken English Specific
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. Preferred Qualifications: Proficient in Python (or C/C++) & R programming. Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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Python and R. Candidates must be able to perform in international settings, both academic and non-academic, virtual and in person (conditions permitting). Significant travel may be required (conditions
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx . Qualifications: Minimum requirements include a
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development, optimization, and continuous learning in a rapidly evolving field. Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our