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Showing results for tags 'computational'.
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Hello all, first post! I am currently refining my list of schools to which I would like to apply for a PhD in Chemical Engineering. I believe I am a fairly strong contender, so I was wondering which schools offered top competitive programs in the field of computational catalysis. I have conducted extensive experimental research in the field of heterogeneous catalysis, but I would like to branch out more into the theoretical and computational side if possible. Please, let me know your thoughts! Thank you
Hi everyone,Kindly advise on my chances of getting into the following MFE/Quantitative Finance programs:-Baruch-Columbia-Cornell-NYU-University of Chicago-Georgia Institute of Technology-MIT-University of Washington-Boston University-Fordham-NYU Tandon-UCLA-USC-North Carolina State-North Carolina at Charlotte-RensselaerGender: M. Ethnic Background: White/European. American Citizen.Here are some of my accomplishments and skills:-May 2017 BS Mathematics graduate, 3.35 GPA (courses in Calc 1-3, DiffEq, Real Analysis I&II, Complex Analysis, Probability Theory, Topology, Advanced Linear Algebra, and few actuary courses [FM, P, MLC]). Top 100 ranked from US News National University in New York.-Full time work experience as a Pricing Analyst for an aviation engineering company. I've been there for 7 months already immediately after graduation and looking to stay for a year until I get in a FE program for fall 2018.Job summary: Develop integrated pricing models and cost analysis for aircraft component repair Forecast revenue/profit margins and present analyses and recommendations to executive management team Prepare business proposals, validate bills of material pricing, and leverage budget analysis to maximize revenue and mitigate risk -GRE Score: Q: 166 (91 percentile), V: 153 (61 percentile), Writing: 4.5 (82 percentile).-Financial representative internship at Northwestern Mutual during my undergrad.-Letters of Rec: 1) Calculus 1 & 2 Teacher's Assistant. This professor, who is the director of calculus at the university I graduated from, is writing my recommendation letter. 2) My math professor for advanced probability/stats, and 2 actuary courses in MLC (part I and II). I did very well in his classes. B, A-,A respectively in that order. 3) My former business development manager who was the previous pricing analyst as well and trained me. He now is in a different office for the same company; this left me to run the business development department on my own. I expect strong letters from all 3.-Limited knowledge of C++, Python, and Access. Haven't formally learned programming but I plan on getting take Baruch's C++ for Financial Engineering pre MFE course for C++ certification before starting in the Fall. -Working with the IT developer at my job to create a C++ program that predicts stock price volatility. He's doing the coding, I'm doing the math. -Advanced Excel skills, as I use it heavily at my job every day. -Private math tutor for Wyzant.com with over 95 hours of tutoring and 5/5 star rating for all levels of math up to calculus 1.Please let me know if you think my profile is strong enough to gain acceptance for certain schools based on my experience. If you have any more questions to evaluate my profile do not hesitate to ask. Thank you for your time and I appreciate your help.-Transcending
berkeleygoogles posted a topic in BiologyCurrent junior chemical biology major here. I want to do a PhD program in Computational Biology/Chemistry. However, my undergraduate research experience is standard wet lab biochemistry work. I got a biotech internship this summer and it's also very wet lab molecular biology heavy. I could try to hustle and take a lot of CS/Math my last year (maybe get a minor in CS or Applied Math) to build myself as an applicant for more computationally driven research and write an SOP about how I want to switch fields but I built general research skills from my experience, etc. Or should I basically just apply to the same bio/chem/biochem departments but bill myself as wanting to build upon the biochemistry research I've already done, making me likely a stronger applicant. Then if I got in I would make the switch to computational classes and research in grad school.