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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. Our tech stack: We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Vertex AI, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
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Introduction to the jobASML/Brion brings together the most creative minds in science and technology to develop computational lithography software to enable customers on the best process window enhancement solution for the next generation HighNA EUV scanner, as well as best process window control solution to mitigate the process variation during the scanner operation, providing holistic solution for advanced nodes in semi-conductor industries.
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Advanced degree in a computational field such as: computer science, math, linguistics, statistics, economics, or equivalent experience. We are hiring a full-stack data scientist to support our LLM efforts and AI innovation located in San Francisco.
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RequirementsExperience: The ideal candidate will have an undergraduate or graduate life science degree (biological, chemical, or structural biology) as well as substantial course work or work experience involving computational biology, statistics or advanced mathematics, such as data reduction techniques (e.g., principal component analysis, t-SNE, etc.
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This role is targeted at someone who is ready to dive deep into our computational engine and enhance its capabilities to meet the evolving demands of our scientific programs as they produce, characterize, and optimize safer therapeutic antibodies.
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Demonstrated track record in building partnerships or collaborations with data scientists or computational biologist, engineers and experimental biologist. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy.
$240,000 - $305,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bachelor’s degree in computer science, Physics, statistics, applied mathematics or an equal computational field. Hands-on experience working with the latest NLP models like BERT, SentenceBert and LLMs like GPT, Gemini, Llama families of models, etc.
$164,800 - $242,225 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc.) Formulate and apply novel machine learning solutions to the energy domain : Tackle complex deep learning & machine learning problems by researching published academic literature, surveying industry techniques & intuition, and executing hands-on experimental testing & modeling.
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Deep understanding of digital photography, camera image processing technologies, and aspects of computational photography. Excellent sense of photography and videography/cinematography (understanding on a technical & artistic level as to what makes a good photograph "good", and a good video "good.
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Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.
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As a member of our computational neuroscience team, your primary responsibilities will be to design, implement, and improve algorithms to process surface electromyography (EMG) and other neural signals.
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Mathematics & science infrastructure (computational research at NASA’s JPL). Mathematics & science infrastructure (computational research at NASA’s JPL). Founders Fund, Khosla Ventures, Max Levchin, NYCA, Sequoia, etc.
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Epic Bio is seeking a highly motivated Head of Biological Data Science responsible for leading a team of computational biologists, bioinformaticians, and data engineers. Required skills include analyzing high-throughput sequencing datasets, experience in clinical biostatistics and drug development, and strong programming abilities in Python and R. The role also demands effective communication of research results across different levels of the organization.
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PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience) PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience.
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Fluency in a programming language commonly used for data manipulation and computational statistics (such as Python, R, MATLAB, C. M.A/M.S./Ph. D. (completed) in Human Factors, Social Sciences, Human-Computer Interaction (HCI), Computer Science, Cognitive Psychology, Product Design, or another field.
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computational job Company: Structure Therapeutics Inc in South San Francisco, CA
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Even if you’ve worked hard to earn a degree from an impressive school, landing your dream job might still come down to who you know – otherwise known as networking. Lots of qualified candidates might apply for a job, but the person who gets it might very well be so-and-so’s sibling, friend, or kid. Sometimes the only way to get your foot in the door is to know someone.
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Once you’ve finally mustered up the courage to find another job, leaning into the job hunt can feel scary and overwhelming. So, it does nothing to help your confidence when your outbox is full of unanswered follow-ups and interview requests. You thought that ghosting only happens on dating apps—so why do recruiters ghost, too? Recruiter ghosting is not an effective recruiting strategy, but sometimes it’s inevitable. How can you overcome such an unfortunate new career trend? Read on.
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Each companies hiring strategy is based on a set of rules that defines the ideal candidate. Many companies utilize internal and external hiring to ensure they have skilled, experienced workers. If you work in recruiting, maximizing your internal hiring strategies could be the key to retaining employees and simplifying your hiring process.
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For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
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The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
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People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.