Learn how one, two, or three RE-U-ZIP Magnetic Entry Strips can be used to tailor containment barrier entry options for the particular needs of your project. Improve your project efficiency with one these great options:
Concrete Work Demolition Safety Compliance Abatement Floor Finishing Painting Mold Remediation Flood & Fire Restoration Home Remodeling Drywall Healthcare Agricultural Growing Woodworking Office Spaces Dental Offices Restaurants Schools Hospitals Production Studios Event Spaces Airports Clubs Hotels Universities Museums Restaurants Manufacturing Government Facilities Clean Rooms Transportation Gyms Clubs Bars Supermarkets Electronics and Semi-Conductor Laboratories Dental Facilities Sanding Grinding Cutting Food Processing Plants HVAC Infection and Epidemic Control Contamination Control Farming Grow Rooms Hydroponics Automotive Cannabis Cultivation & More
Are you tired of your dust barrier zipper breaking, jamming, or separating from your dust barrier during your project? What about wastefully having to throw away your dust barrier zipper at the end of each project!? Then we have a game-changing containment solution for you!
With the RE-U-ZIP Heavy-Duty Reusable Dust Barrier Zipper's patented hook & loop system, we have eliminated all major pain points associated with single-use disposable dust barrier zippers. Your dust barrier zipper is now a valuable tool, designed to be reusable for increased cost-efficiency, reliability, and functionality!
These easy to use, jam-resistant adhesive mounting strips help you maximize the value and extend the lifespan of your RE-U-ZIP Dust Barrier Entry Systems. Equipped with a high-quality adhesive backing, these mounting strips only require an ordinary utility blade to cut and are fully compatible with both the zipper and magnetic products.
REFERENCES & RESEARCH CHOICES List two faculty members who are familiar with your progress in chemistry and who will be submitting letters of recommendation for you. Please alert them to this URL and let them know they can submit their recommendations online via this site. Reference #1 Name: Title: School/University: Email:
Prof. Brian P. Coppola Department of Chemistry, University of Michigan, Ann Arbor, MI 48109-1055 email: firstname.lastname@example.org Thanks for applying to the University of Michigan's REU Program in Chemistry. Successful applicants will be contacted by email. The status of successful applicants will be indicated on the front page of our REU website. The webpage will also reflect when the program is filled. Because we receive over 200 applications to our program, we will not be contacting unsuccessful applicants. We will give the status of our offers to date at the REU website. For questions about the application process contact: Angela Cox For problems with the website contact: Webmaster
Application must be submitted using the Online Application Form. All other supporting documents must be submitted using one zip files through online form. Questions regarding the application process should be directed to email@example.com. A complete application package will include:
Ethical, Sustainable, Green, Eco Friendly, Environmentally-Friendly, Earth-friendly, Eco-conscious, Biodegradable, Salvage Manufacturing, Eco-Sourcing, Transparent Supply Chain, Non-Toxic, Chemical-Free, We Do Not Greenwash, Clean, Natural, Zero Carbon Emissions, Recycling, In Harmony with Nature.
We require two letters of recommendation, preferably written by your course instructors or research advisors. Please, ask your letter writers to email the letters directly to firstname.lastname@example.org no later than February 15, 2023.
Name three participating faculty mentors with whom you would like to work, ranking them as your 1st, 2nd, and 3rd choice. While your selection does not guarantee that you will end up in the corresponding research groups, we will do our best to match your interests to the available research projects.1st Faculty Member:ChooseIgor AlabuginEugene DePrinceKenneth HansonEdwin HilinskiJustin KennemurSusan LatturnerBiwu MaLea NienhausJack SaltielMichael ShatrukAlbert StiegmanGeoffrey StrouseLei Zhu2nd Faculty Member:ChooseIgor AlabuginEugene DePrinceKenneth HansonEdwin HilinskiJustin KennemurSusan LatturnerBiwu MaLea NienhausJack SaltielMichael ShatrukAlbert StiegmanGeoffrey StrouseLei Zhu3rd Faculty Member:ChooseIgor AlabuginEugene DePrinceKenneth HansonEdwin HilinskiJustin KennemurSusan LatturnerBiwu MaLea NienhausJack SaltielMichael ShatrukAlbert StiegmanGeoffrey StrouseLei ZhuRequired FilesAllowed file formats are PDF (strongly preferred) and DOCX and DOC
The complete application is due by March 29, 2023 (extended) for nationwide students. Local students can apply until April 13, 2023. In addition to the information provided here, please also submit a curriculum vitae (including relevant research experience, academic achievements, and memberships in professional organizations and honorary societies), two letters of recommendation, and transcripts. These can be emailed to email@example.com, or mailed to: Volker Quetschke REU in PhysicsThe University of Texas Rio Grande Valley One West University Blvd. Brownsville, Texas 78520
The Intelligent and Scalable Systems REU Site, sponsored by the National Science Foundation and hosted by the Computer Science and Engineering Department at Lehigh University, provides undergraduate students from across the country with an opportunity to learn how to harness the incredible potential of machine learning and the unprecedented power of modern parallel compute resources, and to use their knowledge and experience to invent new systems and algorithms that are infused with intelligence and capable of solving pressing societal problems.
Our REU site provides every student with a deliberate program of research and study, and pairs each student with a dedicated faculty mentor. In addition, we have prepared a series of seminars and tutorials designed to ensure that every participant will be ready to collaborate, knowledgeable about the key concepts and technologies in modern intelligent and scalable systems, and inspired to pursue further education and life-long careers in Computer Science.
Modern advances in machine learning, especially the use of parallel computational resources to train algorithms on large data sets, is enabling revolutions in many sectors of our society and our economy. To sustain this revolution, our REU Site is focused on research into fundamental topics in both machine learning and scalable computer systems, such as new algorithms for machine learning, new approaches to privacy preservation, and new techniques for increasing the performance of parallel programs. We also support application-focused research, with an emphasis on creating solutions to hard problems in both research and society.
Through this REU Site, students will have the opportunity to pursue research in a broad array of areas. Below is a list of topics offered in past years. However, this list is by no means exhaustive.
Projects to be investigated this year will be determined through a combination of faculty and student interests. For broader research areas, and for a list of potential advisors for the topics that interest you most, please see our faculty research interests.
We welcome applications from undergraduate students who are US citizens and permanent residents. We are particularly interested in applicants who come from groups that are traditionally underrepresented in computer science and engineering (low-income, ethnic and racial minorities, first generation college students, and women). If you are a member of one or more of these groups, please highlight this in your personal statement.
Note that applicants must be US citizens or permanent residents to apply. Students must also be currently enrolled in an undergraduate college or university. High school students or college students that have graduated before this experience are not eligible.
Review of applications will begin on February 1st, and will continue until all available positions are filled. Please be sure to apply before February 1st to ensure that your application receives full consideration.
descriptiondownload regular build of DraCopy and DraBrowse dracopy-1.3doj.zip DraCopy and DraBrowse for C64, C128, Plus4 in a D64 image dracopy-1.3doj.d64 DraCopy for C64 with REU support. To use other RAM expansion modules, you have to change the DraCopy Makefile and compile your own build. It uses the cc65 extended memory drivers. dracopy-1.3doj-reu.zip DraCopy for C64 with Kerberos MIDI Interface RAM support. This version doesn't use the cc65 extended memory driver, but has the Kerberos RAM support built in. You can use these programs to flash into the program slots of the Kerberos cartridge. dracopy-1.3doj-kerberos.zip regular build of DraCopy and DraBrowse with the blue color scheme dracopy-1.3doj-BLUE.zip regular build of DraCopy and DraBrowse with the SX-64 color scheme dracopy-1.3doj-SX.zip regular build of DraCopy and DraBrowse with the C128 color scheme dracopy-1.3doj-128.zip
The REU Science Communication Workshop is designed to enhance the science communication skills of undergraduate students participating in research programs such as NSF's Research Experience for Undergraduates. The REU SCW has been implemented and evaluated quite successfully at more than 10 university campuses. This Guide offers program providers step-by-step planning and implementation instructions, hand-outs, media and print materials, evaluation tools, and sample workshop leader commentary. THIS IS THE VERSION 5.0 UPDATE. ALL ELEMENTS HAVE BEEN REVISED AND IMPROVED. Note: 041b061a72