36 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at The University of Arizona
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, written, and graphic formats. Proficiency in using computers to automate tasks. Minimum Qualifications PhD in Biomedical Sciences or a related field of study. Preferred Qualifications • Microscopy
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, AND ABILITIES: Strong skills in hydrological modeling and machine learning, Proficient in computer programing (e.g., Python, Fortran, C, Matlab, and/or R), Skills in handling large datasets and high
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into the molecular mechanisms of T-Cell activation and cell fate decisions (pubmed search: Van Doorslaer K, Kuhns MS). Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick
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related field. Degree must be conferred by start date. Preferred Qualifications Experience with multimodal data integration and machine learning techniques. FLSA Exempt Full Time/Part Time Full Time Number
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practices. Additionally, this position offers extensive opportunities for interdisciplinary collaboration, stakeholder engagement, and mentorship, including the opportunity to co-teach undergraduate and
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expertise in molecular and cellular biology to advance our research initiatives and enhance computational methodologies. Ideal candidates should have a PhD in Biology, Neuroscience, Computational Biology
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addition to the PhD requirement, a Master's degree in GIS is preferred. Research experience relevant to the following scientific area: geospatial data science. Experience with High Performance Computing. FLSA Exempt
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. Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and
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analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing working with satellite data over large spatial extents, specifically
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using computers to automate tasks. Ability to participate at scientific conferences and present findings. Minimum Qualifications PhD in life sciences related field is required. Preferred Qualifications