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Field
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The Small Fruit Breeding Program at Auburn University is seeking a breeding data manager and curator specialist (Post Doc Fellow) to support the research activities of a USDA Specialty Crops Research
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well as artificial intelligence and machine learning techniques (AI/ML) with emphasis on electronic properties (charge and spin) of a range of materials important to the DOE mission, including the materials classes
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine
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analysis of atmospheric numerical model output (e.g., WRF, PALM, SAM) Experience with machine learning and artificial intelligence techniques Experience with predictive modeling Environmental, Health
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the possibility of an extension of up to one year from the initial start date, depending on funding. The salary will follow NIH guidance for post-docs (commensurate with years of experience) and will be prorated
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, engaging with other data analysts, students, post- docs and faculty on the team Conduct comprehensive high-throughput multi-omics data analysis and epidemiological analyses; Apply biostatistics and cancer
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, enhanced by machine-learning and data-driven analysis techniques. Additionally, the study will encompass electrically triggered events that mimic the voltage-based signaling of biological synapses
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experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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Apply now Job no:526348 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: CBIKS Union: Post Doc Categories:Postdoctoral Research Associate, College of Social and Behavioral
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studies. Proficiency in relevant computational tools and statistical methods. Experience with machine learning in large datasets. Interest and motivation to work in a multidisciplinary team. Ability to work