Computational Science Intern Jobs

Practical experience: get to be a part of real-world projects.

Experience working with deep learning architecture for audio or/and video processing.

Experience developing and training multimodal deep learning architectures.

Programming experience in Python, and experience working with frameworks like PyTorch or TensorFlow.

Experience solving analytical problems using quantitative approaches.

Ability to prototype quickly, with adept critical thinking skills.

Up-to-date knowledge of machine learning and various neural network models and their pros and cons or different applications.

Working knowledge of structural optimization (e.g., shape/topology optimization).

Research and develop novel approaches to solving shape/topology optimization problems with mutli-physics objectives and constraints.

Develop viable solutions to scientific research problems, that can be executed within the span of internship (e.g., three months).

Develop high-quality and scalable code according to industry standards.

Contribute to conference or journal papers.

Highly motivated, results driven individual with excellent organizational, interpersonal and communication skills and experience working in geographically distributed teams

Build and manage the company’s computational chemistry and data science group through recruitment of key members in the US and China

10+ years of post-degree industry experience in applying computational chemistry for structure-guided drug discovery

Excellent written and verbal communication skills are required, both in English and Chinese.

Proactive, hands-on style, possessing strong motivational and leadership skills

Experience working with multi-disciplinary/cross functional teams is preferred

Assisting on Custom Projects as it relates to parametric design.

Assisting Computation and Fabrication Team on new script Development for product launches

Assisting with fabrication and validation of custom solutions.

Assisting the training and implementation of new tools and processes

Assisting the Computation and Fabrication Team on Organizational Goals

Ability to develop, document, and produce custom prototypes in Grasshopper and Rhino

Keep in mind, equivalent amounts of relevant experience may be considered in lieu of the above requirements

Numerous development opportunities offered to build your skills

A Ph.D. degree with experience in a relevant discipline: computational chemistry, computer-aided drug design.

Knowledge-based methodologies and selecting appropriate methods towards hit identification and optimization.

Effective communication and presentation skills, capable of conveying technical and project information in a clear manner.

Health benefits for you and your family on your first day of employment

Experience with COMSOL or similar multi-physics modeling software.

Basic knowledge of electrical circuitry

Experimental experience with UHV plasma systems.

Great medical, dental and vision benefits

Develop, implement, and own multi-physics computational models of the plasmas within Avalanche’s ion gun and fusion device.

Aid in the design and development of the ion gun beam optics.

Experience in designing, executing, and analyzing qualitative studies (e.g., cognitive task analysis) with human participants

Experience with AI/ML and data science methodologies.

Graduate PhD student (in Cognitive Science/HCI/Computer Science)

Proficient in Python and usage of standard data science libraries/packages.

Ability to work in an interdisciplinary research environment.

Organized and effective time management skills

High school diploma or GED plus 1-year experience or equivalent combination;

Experience working and communicating with a wide range of people; a

Experience writing, editing, and proofreading written materials.

Some college, trade school, or higher education;

Strong organizational skills and attention to detail

The Schools of MLS provide a wide variety of practical clinical laboratory experiences in a values-driven, team based environment.

Demonstrates effective written and verbal communication skills.

Obtain and triage laboratory specimens per established policies.

Perform standard laboratory techniques according to approved protocols under direct supervision.

Maintain adequate and accurate records following established departmental policies.

Notify appropriate personnel of problems, such as unacceptable specimens, variations in specimen information and instrument malfunction.