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Overnight Computer Science Postdoc Jobs in Edgewood, MD

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Overnight Computer Science Postdoc information

What is an overnight computer science postdoc?

An Overnight Computer Science Postdoc is a postdoctoral researcher in computer science who primarily works during nighttime hours. These positions typically involve conducting advanced research, collaborating on academic papers, and contributing to ongoing projects in areas like artificial intelligence, machine learning, or cybersecurity. Working overnight may be required to align with global research teams, utilize available computing resources, or accommodate personal schedules. Applicants generally need a recent Ph.D. in computer science or a closely related field. The role helps postdoctoral researchers gain further experience and prepare for faculty or industry positions.

What are the typical challenges faced by an overnight computer science postdoc and how can they be managed effectively?

An Overnight Computer Science Postdoc often faces the challenge of maintaining productivity and focus during non-traditional working hours, which can impact work-life balance and collaboration with daytime colleagues. Managing these challenges involves establishing a structured routine, utilizing collaboration tools to stay connected with team members, and setting clear communication expectations. Additionally, it's important to prioritize self-care and leverage flexible scheduling when possible to maintain overall well-being and research effectiveness.

What are the key skills and qualifications needed to thrive as an overnight computer science postdoc, and why are they important?

To thrive as an Overnight Computer Science Postdoc, you need a PhD in computer science or a related field, strong research skills, and expertise in your chosen area of study. Experience with programming languages (such as Python, Java, or C++), data analysis tools, and version control systems like Git is critical, along with familiarity with relevant computational frameworks. Excellent problem-solving abilities, self-motivation, and strong written and verbal communication skills help you excel in independent and collaborative research, especially during non-standard hours. These competencies enable you to contribute original findings, manage complex projects, and effectively communicate results within the academic community.

What is the difference between Overnight Computer Science Postdoc vs Research Scientist?

AspectOvernight Computer Science PostdocResearch Scientist
CredentialsPhD in Computer Science or related fieldMaster's or PhD, often with specialized expertise
Work EnvironmentAcademic or research institution, often with flexible hoursIndustry labs or corporate R&D, standard working hours
Employer & IndustryUniversities, research institutesTech companies, R&D divisions
Search & Comparison IntentUnderstanding academic vs industry roles, work hours, credentialsCareer transition, industry-specific roles

The Overnight Computer Science Postdoc typically involves academic research with flexible hours and a focus on advancing knowledge in computer science. In contrast, a Research Scientist usually works in industry, with standard hours and applied research goals. Both roles require advanced degrees, but their work environments and career paths differ significantly.

Overnight Computer Science Postdoc jobs near you

Post-Doctoral Fellowship in Advanced MR Spectroscopy

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Re-posted 3 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

189th of 620 rated colleges and universities

Job description

Description
The research group led by Dr. Georg Oetlzschner at The Johns Hopkins University School of Medicine invites applications for a two-year Postdoctoral Fellowship. The fellow will work on various NIH-funded research projects focused on the development novel data processing and analysis methods for in-vivo MR spectroscopy (MRS) and their application in the human brain. The goals of this work are: (i) to improve the reliability and reproducibility of in-vivo MRS metabolite concentration estimation; (ii) to demonstrate their utility as biomarkers of function and disease; (iii) to disseminate new methods to other researchers worldwide through our collaborative open-source MRS analysis software platform "Osprey".
Key Responsibilities:
The candidate will primarily develop and apply novel methods for modeling in-vivo MRS data:
• - Advance our newly-developed general linear-combination model.
• - Develop appropriate quantitative metrics to evaluate which model is the best one (quantitative information criteria).
• - Develop new sampling methods (based on Markov Chain Monte Carlo methods) to solve optimization problems and characterize the uncertainty of the modeling.
• - Acquire MRS data in healthy volunteers, as well as patients with brain tumors and other disorders.
• - Integrate the newly-developed methods for dissemination via the "Osprey" platforms.
• - Contribute to dissemination, maintenance, and user support of the "Osprey" platform.
Beyond this, there will be opportunities to pursue goals such as:
• - Develop new MRS/MRI pulse sequences.
• - Develop new analysis methods to parametrize and model MRS artefacts such as lipid contamination (and/or eliminate).
• - Develop deep-learning-based methods for processing and analysis.
• - Develop novel quantification routines specifically suitable for pediatric and/or aging cohorts.
The candidate is expected to:
• - Work independently and as a constructive part of a large team of interdisciplinary researchers.
• - Follow all key principles of responsible and reproducible research.
• - Draft and submit manuscripts for publication in field-leading peer-reviewed journals (e.g., Magnetic Resonance in Medicine).
• - Draft and submit abstracts to field-leading annual society meetings (e.g., ISMRM).
Qualifications
Key Qualifications:
  • Ph.D. in Medical Physics, Biomedical Engineering, Electrical Engineering, Computer Science, Neuroscience, or a related field.
  • Experience with signal processing, data modelling, non-linear optimization, and MR physics.
  • Strong programming skills in MATLAB, Python, R, C++, and/or similar.
  • Experience working with MRS data is desirable, but not strictly necessary.
  • Ability to work independently as well as in a collaborative research environment.

Preferred Skills:
  • Hands-on experience with acquiring and analyzing in-vivo MRS data.
  • Knowledge in solving complex optimization problems.
  • Knowledge of statistical analysis methods for biomedical research.
  • Experience with reproducible research, open science practices, version control (OSF, Git, Docker, Jupyter, R Markdown etc.
  • Strong publication record in relevant fields such as MRI/MRS, NMR spectroscopy, clinical neuroimaging, etc.

Application Instructions
Interested candidates should submit the following documents:
  • A detailed CV.
  • A cover letter describing your relevant research experience and career goals.
  • Contact information for three professional references.

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

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