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[Nuvisan Talk] - How to turn complex analytical workflows into LC MS biomarker assays
⏲ 27 min 85 sec ✓ 16-Feb-2021
REVISION LESSON 1 ON IDENTIFICATION OF A RESEARCH PROBLEM & WRITING THE STATEMENT OF THE PROBLEM
⏲ 13 minutes 4 seconds 👁 9.3K
What is Research Problem?
⏲ 4 minutes 46 seconds 👁 21.7K
[Nuvisan Talk] - How to improve drug tolerance in competitive ligand binding NAb assays
⏲ 22 min 89 sec ✓ 26-Apr-2021
Steps in Formulating Research Problem | Research Tutorial
⏲ 3 minutes 27 seconds 👁 24.7K
How to Write a Strong Research Question in One Minute 👈
⏲ 8 minutes 59 seconds 👁 30.4K
CEMFI Summer School 2021 - Advanced Numerical Methods in Macroeconomics
⏲ 2 min 76 sec ✓ 30-Apr-2021
How to Develop a STRONG Research Question | Scribbr 🎓
⏲ 4 minutes 19 seconds 👁 361.3K
Identification and formulation of research problem : easy and quickest explanation
⏲ 9 minutes 29 seconds 👁 83.6K
DSCI Seminar: Michael Holst, A Look at Some Mathematics Research Problems in General Relativity
⏲ 36 min 22 sec ✓ 07-Mar-2017
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⏲ 32 min 31 sec ✓ 24-Feb-2021
Stephen Wright: Optimization in Data Science
⏲ 44 min 9 sec ✓ 14-Feb-2023
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_nuvisan-talk-how-to-turn-complex-analytical-workflows-into-lc-ms-biomarker-assays.webp "Biomarkers are measurable characteristics of a living organism, from blood pressure to the abundance of proteins or small molecule metabolites. They play an increasingly important role in drug development, where they can facilitate every step within the drug development process from basic research and preclinical development to clinical trials and post-marketing safety assessment.nnOnce drug development proceeds from research to clinical stages, regulated bioanalysis has to be applied for biomar")
_revision-lesson-1-on-identification-of-a-research-problem-amp-writing-the-statement-of-the-problem.webp "RESEARCH METHODS CLASS WITH PROF. LYDIAH WAMBUGU")
_what-is-research-problem.webp "Management Tutorials")
_nuvisan-talk-how-to-improve-drug-tolerance-in-competitive-ligand-binding-nab-assays.webp "Administration of large molecules can trigger an immune response in patients, leading to the production of anti-drug-antibodies (ADA). Neutralizing antibodies (NAb) are a specific type of ADA that reduce the therapeutic effect by interfering with the drug-target interaction, thereby neutralizing drug’s efficacy, and causing unwanted adverse effects. Thus, it is crucial to detect the levels of NAb in serum of patients.nnCell-based assays (CBA) and competitive ligand binding assays (cLBA) are de")
_steps-in-formulating-research-problem-124-research-tutorial.webp "CCV Channel")
_how-to-write-a-strong-research-question-in-one-minute.webp "David Taylor")
_cemfi-summer-school-2021-advanced-numerical-methods-in-macroeconomics.webp "Advanced Numerical Methods in MacroeconomicsnJesús Fernández Villaverde (University of Pennsylvania) and Galo Nuño (Banco de España)nnSince the financial crisis one decade ago, macroeconomics has made tremendous advances in incorporating nonlinear phenomena (such as sovereign or banking crises) and non-trivial heterogeneity in households and firms into dynamic general equilibrium models. These advances have, in turn, pushed the boundaries in numerical methods able to solve efficiently nonlin")
_how-to-develop-a-strong-research-question-124-scribbr.webp "Scribbr")
_identification-and-formulation-of-research-problem-easy-and-quickest-explanation.webp "Simple Nursing Lectures")
_dsci-seminar-michael-holst-a-look-at-some-mathematics-research-problems-in-general-relativity.webp "In 1915, Einstein (and Hilbert) formulated the equations of general relativity (the Einstein Equations) as a geometric description of what we experience as gravity, displacing Newton's theory of gravity. Early on (already by 1916), it was realized that the equations, which are fundamentally wave equations (with constraint equations along for the ride), predict that gravitationally interacting bodies will emit radiation at the speed of light that will carry energy away from the interaction. Unlik")
_92.webp "Keynote Title: Constructive Preference LearningnnKeynote Lecturer: Roman SlowinskinPresented on: 06/02/2021, Online StreamingnnAbstract:We present a constructive preference learning methodology, called robust ordinal regression. Its aim is to learn Decision Maker’s (DM’s) preferences in multiattribute decision aiding. It links Operational Research with Artificial Intelligence, and as such, it confirms the current trend in mutual relations between OR and AI. In decision problems involving m")
_stephen-wright-optimization-in-data-science.webp "This is the Math+ talk given by Stephen J. Wright (U Wisconsin - Madison) on February 10th, 2023, at TU Berlin.nnWhat is the topic of the talk?nOptimization has always played a key role in solving problems in data science, and the engagement between these areas continues to grow. In this talk, Wright will discuss how formulation and algorithmic tools from optimization have been used to address problems in computational statistics, machine learning, and AI, starting over 200 years ago with least")
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