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Day Computational Material Science Jobs in Virginia

... materials discovery through the convergence of computational chemistry, machine learning, and agentic science. Qualifications : Required : • Ph.D. in Chemistry, Chemical Engineering, Materials ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... Ensure all published materials meet 508-compliance standards * Present complex analytical results ...

Showing results 21-40

Day Computational Material Science information

What are the key skills and qualifications needed to thrive as a computational material scientist?

To thrive as a Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, typically supported by a relevant advanced degree (MSc or PhD). Expertise with simulation software such as VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages like Python or Fortran, is essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with interdisciplinary teams and presenting complex data. These skills are crucial for driving innovation, accurately modeling materials, and translating computational results into real-world applications.

What are some common challenges faced by professionals in day computational material science roles, and how can they be addressed?

Professionals in Day Computational Material Science often encounter challenges such as managing large datasets, integrating experimental and simulation results, and keeping up with rapid advancements in computational methods. Addressing these challenges requires strong collaboration with experimentalists, continual learning to stay updated on new software and algorithms, and effective time management to balance multiple projects. Leveraging open-source tools and participating in interdisciplinary teams can also help overcome technical hurdles and enhance research outcomes.

What is a computational material scientist?

A Computational Material Scientist is a professional who uses computer simulations and theoretical models to study and predict the properties and behaviors of materials. They utilize advanced software and high-performance computing to analyze materials at the atomic or molecular level, helping to design new materials with specific characteristics. Their work supports advancements in fields like electronics, energy, aerospace, and manufacturing by enabling faster and more cost-effective material development compared to traditional experimental methods.

What is the difference between Day Computational Material Science vs Day Materials Engineer?

AspectDay Computational Material ScienceDay Materials Engineer
Required CredentialsTypically requires a PhD or Master's in materials science, physics, or related fieldsBachelor's or Master's in materials engineering or related disciplines
Work EnvironmentPrimarily research labs, computational environments, and simulation softwareDesign, testing, and manufacturing settings, often in industrial or construction sites
Employer & Industry UsageResearch institutions, universities, R&D departments of tech and manufacturing firmsManufacturing companies, construction firms, product development teams

Day Computational Material Science focuses on computer-based simulations and modeling to understand material properties, while Day Materials Engineer involves practical application, testing, and development of materials in real-world settings. Both roles require strong technical knowledge but differ mainly in their work environment and daily tasks.

What are the most commonly searched types of Computational Material Science jobs in Virginia? The most popular types of Computational Material Science jobs in Virginia are:
What cities in Virginia are hiring for Day Computational Material Science jobs? Cities in Virginia with the most Day Computational Material Science job openings:

High School Computer Science Tutor

Varsity Tutors

Blacksburg, VA • Remote

$18 - $40/hr

Part-time

Re-posted 7 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online High School Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a High School Computer Science Tutor
  • Advanced Subject Mastery: Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types, control structures, functions, arrays, basic algorithms, debugging, and introductory concepts in cybersecurity and data. Ability to explain algorithm efficiency, Boolean logic, and binary representation while preparing students for AP Computer Science courses, college computer science, and technology careers.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching programming logic, problem decomposition, and debugging strategies for high school students new to computer science. Guides students through writing programs with variables and loops, implementing simple algorithms, designing solutions to computational problems, and using development environments. Emphasizes building computational thinking skills and connects computer science to robotics, game design, and real-world technology applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with high school computer science standards including CSTA frameworks and common challenges such as abstract thinking about algorithms, debugging syntax and logic errors, and building persistence through coding challenges. Adapts instruction using visual programming tools, interactive coding platforms, and engaging projects to support students from introductory exploring computer science through pre-AP preparation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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