Job ID: 102549
Job date: 2017-07-25
End Date:
Company : Lawrence Livermore National Laboratory Country : Role : Postdoc
Job date: 2017-07-25
End Date:
Company : Lawrence Livermore National Laboratory Country : Role : Postdoc
Job Description:
We have an opening for a Postdoctoral Research Staff Member to work in the area of whole heart modeling and simulation. You will apply your knowledge in simulation of cardiac electrophysiology, from cell to organ and ECG and in simulation of cardiomyocyte myofilament kinetics and cardiac mechanics at the organ scale. This position is in the Biosciences and Biotechnology Division. Essential Duties: - Employ Cardioid tools and expand tools in research to include: High-throughput and accurate medical image-to-mesh for generation of patient-specific heart models; forward computation of torso-less ECG and/or vector-cardiogram, and tools for analysis; automated and high-fidelity identification, characterization, and localization of reentrant rotors. -Develop collaborations with external partners to advance simulation efforts toward predictive biology and patient-specific medicine. - Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory. - Publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings. - Interact with senior project staff and management to influence programmatic decisions. - Organize, analyze, and present data from research at seminars, technical meetings, national and international conferences. - Perform other duties as assigned. Qualifications: - Recent PhD in computational biology, computational anatomy and/or physiology, or related technical engineering discipline (e.g., biomedical, mechanical) field. - Deep knowledge of clinical cardiology, including contemporary procedures, cellular processes, basic anatomy, and the ECG. - Experience in applying computational tools to address real-world clinical problems in close interaction with a team of medical professionals and other scientists. - Experience with deep-neural networks, including graph convolution neural networks, to organize labeled as well as un-labeled data for training. - Experience with image-based mesh generation procedures and segmentation tools for creating realistic patient-specific heart models. - Proficient verbal and written communication and interpersonal skills to collaborate effectively in a multidisciplinary team environment and present and explain technical information. - Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature. Desired Qualifications: - Proficient in one or more programming languages, e.g., C++, Java, orPython, in a UNIX environment.
Additional Info:
For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place. Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. Security Clearance: None required. Note: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date. About Us: Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $1.5 billion, employing approximately 6,000 employees. LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law. [Click Here to Access the Original Job Post]
We have an opening for a Postdoctoral Research Staff Member to work in the area of whole heart modeling and simulation. You will apply your knowledge in simulation of cardiac electrophysiology, from cell to organ and ECG and in simulation of cardiomyocyte myofilament kinetics and cardiac mechanics at the organ scale. This position is in the Biosciences and Biotechnology Division. Essential Duties: - Employ Cardioid tools and expand tools in research to include: High-throughput and accurate medical image-to-mesh for generation of patient-specific heart models; forward computation of torso-less ECG and/or vector-cardiogram, and tools for analysis; automated and high-fidelity identification, characterization, and localization of reentrant rotors. -Develop collaborations with external partners to advance simulation efforts toward predictive biology and patient-specific medicine. - Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory. - Publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings. - Interact with senior project staff and management to influence programmatic decisions. - Organize, analyze, and present data from research at seminars, technical meetings, national and international conferences. - Perform other duties as assigned. Qualifications: - Recent PhD in computational biology, computational anatomy and/or physiology, or related technical engineering discipline (e.g., biomedical, mechanical) field. - Deep knowledge of clinical cardiology, including contemporary procedures, cellular processes, basic anatomy, and the ECG. - Experience in applying computational tools to address real-world clinical problems in close interaction with a team of medical professionals and other scientists. - Experience with deep-neural networks, including graph convolution neural networks, to organize labeled as well as un-labeled data for training. - Experience with image-based mesh generation procedures and segmentation tools for creating realistic patient-specific heart models. - Proficient verbal and written communication and interpersonal skills to collaborate effectively in a multidisciplinary team environment and present and explain technical information. - Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature. Desired Qualifications: - Proficient in one or more programming languages, e.g., C++, Java, orPython, in a UNIX environment.
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Additional Info:
For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place. Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. Security Clearance: None required. Note: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date. About Us: Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $1.5 billion, employing approximately 6,000 employees. LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law. [Click Here to Access the Original Job Post]