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Postdoc In Topological Data Jobs in Novato, CA (NOW HIRING)

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Human Neuroscientist

San Francisco, CA · On-site

Design, execute, and analyze ultrasound neuromodulation studies in humans * Integrate data from ... A PhD or postdoc in cognitive neuroscience, neuroengineering, or a similar science or engineering ...

Nudge

Human Neuroscientist

San Francisco, CA · On-site

Design, execute, and analyze ultrasound neuromodulation studies in humans * Integrate data from ... A PhD or postdoc in cognitive neuroscience, neuroengineering, or a similar science or engineering ...

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$38

$66

How much do postdoc in topological data jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for postdoc in topological data in Novato, CA is $38.83, according to ZipRecruiter salary data. Most workers in this role earn between $28.80 and $46.01 per hour, depending on experience, location, and employer.

What is a postdoc in topological data?

A Postdoc in Topological Data is a researcher who has completed their PhD and is engaged in advanced research focused on the application of topology—an area of mathematics dealing with spatial properties—to analyze and interpret complex data sets. These positions typically involve both theoretical work and the development of computational tools to extract meaningful patterns from high-dimensional or complex data. Postdocs in this field often collaborate with interdisciplinary teams in mathematics, computer science, and applied domains such as biology or engineering. The role is intended to deepen expertise, publish research, and prepare for academic or research-intensive careers.

What are some typical collaborative opportunities for a postdoc in topological data within academic or research settings?

As a Postdoc in Topological Data, you can expect to collaborate closely with interdisciplinary teams, including mathematicians, computer scientists, and domain experts from fields like biology or materials science. Collaborative projects often involve developing or applying topological methods to analyze complex datasets, contributing both theoretical insights and computational tools. These interactions may include co-authoring research papers, participating in joint seminars, and working with graduate students. Such collaborations not only broaden your research impact but also help expand your professional network and skill set.

What are the key skills and qualifications needed to thrive as a postdoc in topological data?

To thrive as a Postdoc in Topological Data, you need a strong background in mathematics (particularly topology, algebra, and geometry), data analysis, and a PhD in a related field. Familiarity with computational tools like Python, R, MATLAB, and software libraries for topological data analysis (such as GUDHI or Ripser) is typically required. Exceptional problem-solving ability, collaboration, and strong scientific communication skills help distinguish top candidates in interdisciplinary research environments. These skills are crucial for advancing research, publishing high-quality work, and contributing effectively to collaborative scientific projects.
What cities near Novato, CA are hiring for Postdoc In Topological Data jobs? Cities near Novato, CA with the most Postdoc In Topological Data job openings:
Postdoc In Topological Data jobs near you
Infographic showing various Postdoc In Topological Data job openings in Novato, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,770 per year, or $38.8 per hour.

Computational Neuroscientist

Alljoined

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Alljoined is creating a future where humans are fully understood and augmented by technology. As a Computational Neuroscientist, you will play a pivotal role in advancing our research by using computational and neuroimaging techniques to design experiments and analyze data.
Responsibilities:
• Design and iterate on stimulus paradigms at scale in collaboration with our research team
• Perform comprehensive analyses on collected data to uncover insights into various paradigms and architectures
• Work with a team of hands-on research coordinators who will handle much of the collection work to get data at scale
• Collaborate with other engineers and researchers to design experiments to optimize next-generation neural decoding approaches
Qualifications:
Required:
• PhD/postdoc in neuroscience or a related field.
• Extensive experience in designing and executing neuroscience studies, including the analysis of functional brain imaging data (EEG, fMRI).
• Proficiency in Python (MNE, Numpy, PyschoPy) and associated machine learning frameworks (PyTorch, Sci-Py, Scikit-Learn).
• Extensive experience using advanced computational, statistical, and modeling skills to analyze and interpret neuroimaging data.
• A strong grasp of psychophysics and human behavior.
• Demonstrated ability to conduct independent research and collaborate in an interdisciplinary setting.
Company:
Alljoined develops neurotechnology that connects human cognition with digital systems through non-invasive brain-computer interfaces. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

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