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Field
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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colon cancer (CRC) and its metastasis to distant organs. The goal is to identify microbial strain specific differences in CRC-associated strains using matched oral, normal and tumour samples and their
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and missing information critical for climate assessments. Develop and refine metrics for climate impacts and adaptation strategies, ensuring that these methods are standardized across different sectors
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learn new advanced analysis techniques (e.g., in Matlab, R, or Python) if relevant for the task. Write up research results in the form of journal articles. Participate in and co-arrange national and
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(e.g., Python, R, Julia) Excellent written and spoken communication skills A demonstrated ability to produce high-quality, peer-reviewed research Position Details: This position will remain open until
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modelling will focus on integrating the nitrogen cycle and GHG fluxes at the field and farm scales, thereby improving our understanding of how different management practices influence the landscape. Your work
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make a difference in the world! Job Description: Texas A&M AgriLife Research, located in Temple, Texas, is seeking a Postdoctoral Research Associate. We seek an innovative and highly motivated candidate
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radar-derived surface soil moisture product using sequential data assimilation for root zone soil moisture mapping at high spatial resolution. Key Responsibilities: Assessment of different land surface
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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case is central to this position. SimMobility is based on activity-based mobility modelling theory, simulating agent-level behavior such as route, departure-time, and mode choice within an activity-based