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Postdoc In Network Science Jobs in California (NOW HIRING)

Cedars Sinai

Visiting Postdoc Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

The Visiting Postdoctoral Scientist will collaborate with physician-scientists on multiple clinical ... Participate in manuscript preparation for peer-reviewed publications. * Prepare abstracts and ...

nudge

Human Neuroscientist

San Francisco, CA · On-site

A PhD or postdoc in cognitive neuroscience, neuroengineering, or a similar science or engineering field * Strong neuromodulation and neurophysiology first principles * Experience with brain ...

Noblesoft Technologies

Network Architect

Milpitas, CA · On-site

$75.50 - $101/hr

Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). * 7+ years of experience in network engineering roles. * Strong knowledge of network ...

Nudge

Human Neuroscientist

San Francisco, CA · On-site

A PhD or postdoc in cognitive neuroscience, neuroengineering, or a similar science or engineering field * Strong neuromodulation and neurophysiology first principles * Experience with brain ...

JPL

Postdoc: Lunar Volatiles

Pasadena, CA · On-site

$53K - $72K/yr

The Postdoctoral scholars at JPL benefit from an informal mentoring network, an annual conference ... D. in Petrology, Geochemistry, Planetary Science, or a related field * In-depth knowledge of ...

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Postdoc In Network Science information

What are the typical collaborative opportunities for a postdoc in network science within academic and interdisciplinary research teams?

As a Postdoc in Network Science, you will often work closely with researchers from various disciplines such as computer science, physics, biology, and social sciences. Collaboration is a key aspect of this role, as many projects require expertise in both network theory and domain-specific knowledge. You may participate in joint publications, grant proposals, and interdisciplinary workshops, which not only broaden your research impact but also help you build a diverse professional network. This collaborative environment fosters innovative approaches and can open doors to future academic or industry positions.

What are the key skills and qualifications needed to thrive as a postdoc in network science?

To thrive as a Postdoc in Network Science, you need advanced expertise in mathematics, statistics, and network theory, typically supported by a PhD in a related field. Proficiency with programming languages such as Python or R, experience using network analysis tools (e.g., Gephi, NetworkX), and familiarity with data visualization and machine learning libraries are highly valued. Strong analytical thinking, effective scientific communication, and collaborative skills help you excel in interdisciplinary research environments. These competencies are crucial for producing high-impact research, advancing scientific understanding, and contributing meaningfully to collaborative projects.

What is a postdoc in network science?

A Postdoc in Network Science is a researcher who has completed their PhD and is engaged in postdoctoral research focused on the study of complex networks. This includes analyzing and modeling the interconnectedness of systems ranging from social networks to biological and technological networks. Postdocs in this field typically work at universities or research institutes, contributing to scientific projects, publishing research, and sometimes mentoring students. Their work often involves interdisciplinary collaboration, utilizing tools from mathematics, computer science, and physics. The position is usually temporary and intended to further develop research skills and expertise before moving into longer-term academic or industry roles.
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Postdoc In Network Science jobs near you

Member of the Technical Staff, Computer Vision Model Training

Conquest Technologies Corporation

Palo Alto, CA • On-site

Full-time

Posted 28 days ago

Job description

We are seeking a top-tier AI Scientist / Engineer to join our "Mars-shot" AI startup that aims to reinvent cancer therapy. This unique role offers the opportunity to contribute to groundbreaking advancements in oncology and beyond by combining theoretical physics thinking and cutting edge deep learning methodology to generate and learn from biological data at scale.
Responsibilities
  • Develop novel approaches and train models for prediction of perturbation-response in a complex, high-dimensional dynamical system
  • Co-design data-for-models experimental campaign at scale on robotic platform
  • Wrangle/stand up/leverage large structured data sets and foundational models for biology from public domain
  • Oversee data infrastructure across pipeline from software development environment to wet lab
Requirements
  • In office 5 days a week
  • MS/PhD/Postdoc in Physics, Applied Mathematics, Computer Science, or a related field.
  • Expertise in classic ML and statistics, deep learning, Gaussian processes, transformers+self attention
  • Zeal for best practices in group development and coding to production
  • Past experience working with biological data a plus
Tech Stack
  • Python
  • PyTorch
  • TensorFlow
  • NumPy
  • Pandas

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