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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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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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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 367615 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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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
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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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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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combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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modelling. Candidate Profile: The Center is looking for a Post-doc to work at the interface between Air Quality modeling and machine learning to evaluate air pollution in Morocco and Africa using modelling
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University Job Title: Post Dr Assoc Job Family: Post Doc Other Level: No Grade - Annual Pay Rate Type: Salary Pay Range: $61,008.00 - $87,000.00 Remote Option Availability: Onsite Company: Contact Name: Brenda