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UMaine Calendar

Fostering Resilience and Recovery: Advancing Trauma-Informed Primary Care (online)

Online

Trauma is a near universal experience of individuals who seek assistance from providers. Addressing trauma is now the expectation, not the exception, in primary care. It is equally vital that we understand and build resilience in conjunction with understanding the impact of trauma. Trauma-Informed primary care settings can help establish more appropriate and effective care utilization patterns […]

Adaptive Forest Management Under the Changing Climate webinar series

Online

December topic: Massabesic Experimental Forest: forest ecology and management research. The Center for Research on Sustainable Forests are hosting a third year of its popular webinar and field tour series. In 2022–2023 the series is focused on case studies in adaptive forest management under the changing climate at sites throughout Maine. Panelists will include researchers, […]

Center for Research on Sustainable Forests: Year 3 of Forest Climate Series

Howland Research Forest ME, United States

The Center for Research on Sustainable Forests is launching the third year of its strongly attended webinar and field tour series focused on adaptive forest management in Maine under the changing climate. First event focused on the Howland Research Forest to be held October 26 (webinar) and 28 (field tour). Series details and registration info: https://crsf.umaine.edu/fcci-webinars/ […]

Adaptive Forest Management Under the Changing Climate webinar/field tour series

Online

The Center for Research on Sustainable Forests are hosting a third year of its popular webinar and field tour series. In 2022–2023 the series is focused on case studies in adaptive forest management under the changing climate at sites throughout Maine. Panelists will include researchers, scientists, and stakeholders who will address the scope and scale […]

Center for Research on Sustainable Forests: Year 3 of Forest Climate Series

Howland Research Forest ME, United States

The Center for Research on Sustainable Forests is launching the third year of its strongly attended webinar and field tour series focused on adaptive forest management in Maine under the changing climate. First event focused on the Howland Research Forest to be held October 26 (webinar) and 28 (field tour). Series details and registration info: https://crsf.umaine.edu/fcci-webinars/ […]

Adaptive Forest Management Under the Changing Climate webinar series

Online

December topic: Massabesic Experimental Forest: forest ecology and management research. The Center for Research on Sustainable Forests are hosting a third year of its popular webinar and field tour series. In 2022–2023 the series is focused on case studies in adaptive forest management under the changing climate at sites throughout Maine. Panelists will include researchers, […]

Adaptive Forest Management Under the Changing Climate webinar/field tour series

Online

The Center for Research on Sustainable Forests are hosting a third year of its popular webinar and field tour series. In 2022–2023 the series is focused on case studies in adaptive forest management under the changing climate at sites throughout Maine. Panelists will include researchers, scientists, and stakeholders who will address the scope and scale […]

SBE Seminar Series Spring 2023: Kevin Feldheim: ‘Shark pop-gen and mating systems’

Dr. Kevin Feldheim, The Field Museum of Chicago: "Shark pop-gen and mating systems" Parthenogenesis, or virgin birth, is a recently described phenomenon in the elasmobranchs (sharks, skates, and rays). This process typically leads to offspring that are homozygous at the vast majority of loci. Here, I will discuss how our group discovered parthenogenesis in an […]

SBE Seminar Series Spring 2023: Chaofan Chen

Norman Smith Hall University of Maine, Orono, ME, United States

Dr. Chaofan Chen, University of Maine School of Computing and Information Science: "Interpretable Case-based Deep Learning for DNA Classification" The use of deep neural networks has become increasingly popular, especially for computer vision and natural language processing tasks. In the genomics domain, deep learning has also received increasing attention, and has been used for classifying […]

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