Nominations are open now through May 31. This award recognizes work performance and service which goes above and beyond the standard expectations held for professional faculty and classified staff. One classified and one professional faculty employee will be honored at the University Day ceremonies with the presentation of a plaque and cash award of $500 each. Please click here to learn about the nomination process and criteria.

Ashbrook has two 2.5 L bottles of concentrated nitric acid. Both bottles look unopened. I don’t think a middle school should have this volume of nitric acid sitting around.  Do you or anyone you know at OSU have a need for nitric acid? I have an acid cabinet now but it isn’t large enough to put in a separate container to hold the two large bottles of nitric acid.

Rozeanne

— 

Rozeanne Steckler, PhD

MS Science Teacher

Ashbrook Independent School

(541) 766-8313 Office

I hope all is going well! I was hoping you could pass on this link (see below) to students who may be interested in attending the Radiation Detection Summer School at PNNL. Although the website says the deadline has passed they are still taking applicants. 

I attended this class during my time at OSU and I found it very useful. 

https://www.pnnl.gov/radsummerschool

Thank you!

Ana 

Ana Arteaga, PhD

Pauling Fellow

Nuclear and Radiochemistry Team

Pacific Northwest National Laboratory

(509)375-7242

Northeastern University is hiring a full-time teaching professor with primary responsibilities in teaching organic chemistry:

https://northeastern.wd1.myworkdayjobs.com/en-US/careers/details/Assistant-Associate-Teaching-Professor_R104438

Interested candidates should apply at the link above with a curriculum vita, a teaching statement, an equity and diversity statement, and contact information for three references. Applications will be reviewed beginning immediately. Candidates may contact the chair of the search committee, Prof. Otonye Braide-Moncoeur, o.braide-moncoeur@northeastern.edu, or me, for more information.

To: Students who may be interested in a full-time technician position

My name is Dr. Yi-Ping Li. I am the Dean’s Endowed Chair Professor and the Director of the Division in Cellular and Molecular Medicine at Tulane University School of Medicine. My lab currently has five lab technician positions opening and six Postdoc positions opening . If you are interested in applying for a technician position in my lab, you may submit your online application for  Lab Technician – https://jobs.tulane.edu/position/IRC21132  or Lab Assistant – https://jobs.tulane.edu/position/IRC21130 .   Please also send your CV directly to me (yli81@tulane.edu) and cc to Marie Kaiser (mkaiser@tulane.edu).

If you are interested in applying for a Postdoc position in my lab,  you may submit your online application for Postdoc position at     apply.interfolio.com/81678. Please also send your CV directly to me (yli81@tulane.edu) and cc to Marie Kaiser (mkaiser@tulane.edu).

My lab also has multiple Ph.D. students positions opening. If you are interested in the Tulane University School of Medicine PhD program and need help for the Ph.D. program application, please also let me know and send your CV to me also (yli81@tulane.edu) and cc to Marie Kaiser (mkaiser@tulane.edu).

Our lab has multiple projects that are sponsored by NIH R01 grants and are ready to move forward, including research projects in cancer immunotherapy, bioinformatics, genetics and epigenetics, development, musculoskeletal and aging diseases, inflammatory, and immune diseases, rheumatoid arthritis, osteoarthritis, periodontal diseases and osteoporosis. Please see detailed information about my lab research projects on my webpage at https://medicine.tulane.edu/departments/pathology-laboratory-medicine/faculty/yi-ping-li-phd, and my lab webpage at https://medicine.tulane.edu/yi-ping-li-laboratories and https://www.yi-ping-li-lab.org).

Please feel free to contact me if you have any questions.

Best,

Yi-Ping Li

Yi-Ping Li, Ph.D.|Dean’s Endowed Chair Professor
Director, Division in Cellular and Molecular Medicine
Department of Pathology and Laboratory MedicineDirector, Center for Immunity and Musculoskeletal Diseases
Tulane University School of Medicine
Tulane University1441 Canal St, Room 318 | New Orleans, LA 70112
Email:  yli81@tulane.edu |  Phone: 504-988-0475 (o)
Lab Webpage: https://medicine.tulane.edu/yi-ping-li-laboratories

The U.S. Department of Energy (DOE) announced a plan to provide $84 million for new observational, modeling, and simulation studies to improve the accuracy of community-scale climate research and inform equitable climate solutions to minimize adverse impacts caused by climate change. Research will focus on three tightly related scientific topics—atmospheric and environmental observations; modeling of climate change and impacts across urban regions; and simulating the climate benefits of deploying climate solutions and technologies in historically underserved communities across the U.S.

“Urban regions are expected to face some of the most adverse effects of climate change, such as extreme heat and flooding,” said Geraldine Richmond, Under Secretary for Science and Innovation. “Establishing Integrated Field Laboratories (IFLs) in urban regions will enable scientists and local communities to work closely together to better understand the factors that contribute to urban climate impacts and to develop equitable adaptation solutions informed by science.”

Supported research will improve scientific understanding of how climate change affects microclimates and micro-environments across all types of urban communities; how biogeochemical cycling and atmospheric composition vary across urban regions; and how equitable solutions may be identified as a means to minimize impacts, especially on the most disadvantaged urban communities. Teams of scientists will combine experimental, observational, modeling, and simulation research to unravel complex process interactions and improve scientists’ ability to understand urban climate change.  

Urban IFLs will require multi-disciplinary teams that bring together the skills and talents of investigators from multiple research institutions. Academic and nonprofit research institutions, national laboratories, other federal agencies, and the private sector are all eligible to apply as Urban IFL team members. The lead organization of each proposed Urban IFL team must be an academic institution or a national laboratory. Locally-based team members and minority serving institutions (MSI) are expected to have significant roles in each Urban IFL.

Funding is to be awarded competitively, on the basis of peer review, and is expected to be in the form of five-year awards. The Department anticipates that $17 million will be available for this program in Fiscal Year 2022, pending availability of funds. 

The DOE Funding Opportunity Announcement, issued by the Office of Biological and Environmental Research within the Department’s Office of Science, can be found here

An informational webinar will be held on Wednesday, March 30, at 12:00 PM EDT. Click on the button below to register!

Register Here

Congratulations to all our Winter 2022 Honor Roll students. Keep up the great work, all!

Baumgartner, Trinity
Beeman, Carley
Bissonnette, Nora
Brown, Katrina
Coe, Madeline
Doan, Thuy Duyen
Fitzgerald, Seamus
Hagglund, Lindsey
Jenck, Rachel
Johnson, Jesse
Kenny, Mitchell
Kim, Skylar
Koenigsberg, Seiji
Lee, Seohyun
Lindsay, Taylor
Nelson, Isabella
Neubert, Mckenna
Nguyen, Kelly
Nguyen, Matthew
Nguyen, Vivian
Nieves Lira, Citlali
Noakes, Meredith
Ortiz Ojeda, Damara
Park, Evan
Pogue, Nicholas
Ramos, Gabriel
Roth, Anika
Rummelhart, Casey
Schettini Mejia, Carlo
Tannenholz, Ehman
Tence, Jonathan
Tenoyo, Keenan
VanDerZwan, Nicolaas
Visaya, Samantha
Wang, Jing
Wasserlein, Owen
Wold, Hannah
Wong, Derek
Xue, Bingqing

Spring is in the air, which makes it a great time to do some spring cleaning.  Please encourage your departments to dispose of any unused, broken or obsolete equipment (assets and minor equipment) through Surplus.

For reference, attached are the instructions for filling out the Surplus pick-up request form.  Here are a few reminders for faculty and staff:

  • Do not throw equipment away in dumpsters or trash cans
  • Do not give away equipment to students or anyone outside of OSU
  • Make sure asset tags are attached to capital equipment before sending to Surplus
  • Contact Surplus for approval for trade-ins or donations/transfers to outside agencies

Please encourage faculty and staff to contact you when they start working on equipment removal so you are aware of what is going on and can alert Fixed Assets.

Also follow up with anyone that is retiring or leaving OSU so we can keep track of their assets and make sure they are transferred, reassigned or disposed of correctly.

Thank you for your continued support of equipment management!

As a reminder, Thursday, April 7, is the deadline for the 2022 Dreyfus Program for Machine Learning in the Chemical Sciences and Engineering. Now in its third year, this program provides funding for innovative projects in Machine Learning (ML) that relate to the Foundation’s broad objective to advance the chemical sciences and chemical engineering. The Foundation anticipates these projects will contribute fundamental insights and innovation in the field.

The Foundation encourages proposals to significantly stimulate and accelerate the development and use of ML and related aspects of data science in the chemical sciences and engineering. Below are some examples of areas this program may support: 

·    molecular synthesis, including mechanisms, techniques, and applications

·    theory, computation, physical properties of molecules or materials

·    rates and mechanisms of new chemical processes

·    new or improved materials and materials applications

·    postdoctoral support for collaborations that combine chemical science research with ML expertise 

·    collaborative sabbaticals, extended visits, and meetings 

·    education, e.g., new courses, seminar series, MOOCs, …

·    public libraries of chemistry and chemical engineering data for use in ML

Note that proposals are not restricted to the areas described above. Additional details are available on the Foundation website