Job Skills: Machine Learning
Merck: Associate Principal Scientist, Structural Bioinformatics-CHE004819DescriptionMerck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, Boston, MA, US [More]
Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, semantic...From CAPCO - Tue, 14 Jun 2016 01:03:33 GMT - View all New York jobs [More]
2016/17 PhD program at IMT School for Advanced Studies Lucca Applications are now being accepted for scholarships for the Computer Science and Systems Engineering (CSSE) curriculum within the 2016/17 PhD program at the IMT School for Advanced Studies Lucca (www.imtlucca.it), one of the five Schools of Excellence in Italy. Perspective students should preferably have a master-level background in computer science, engineering, physics, mathematics, statistics, or in a related field. The CSSE curriculum provides the doctoral student with a solid interdisciplinary background to analyze cyber-physical systems and provide solutions to a huge variety of complex engineering problems. The program of studies is based on a set of common courses, covering the fundamentals of numerical linear algebra and numerical methods for differential equations, computer programming, dynamical systems and control, numerical optimization, stochastic processes, and machine learning. These basic courses are followed by a number of advanced courses and research seminars related to the different areas of specialization for the PhD work that can be chosen by the student: research in computer science, carried out within the SysMA unit, deals with the development of languages and techniques for the analysis and verification of modern concurrent and distributed systems. Specific areas of expertise are concurrency theory, programming languages, and software engineering, with a wide range of applications such as adaptive systems, cyber-physical systems, cloud computing, computational biology, fault-tolerant systems, security, and transportation networks; research in control systems, carried out within the DYSCO unit, is oriented towards optimization algorithms for model predictive control and systems identification of dynamical systems and for machine learning, with an emphasis on real-time embedded optimization algorithms and on their application in industrial problems arising from the automotive, aerospace, and smart-grid domains; research in computational mechanics, carried out within the MUSAM unit, is concerned with the development of innovative computational methods to study advanced problems of solid mechanics, fluid mechanics, and cutting-edge problems involving multiple fields and length scales of high interest in both the academic and industrial sectors. Courses are led by world-renowned academics and provide students with all the theoretical skills and advanced tools required for rigorously tackling a multitude of analysis and design problems. Faculty members and researchers create a network that provides close guidance and support throughout the PhD Program, enabling students to reach the highest levels of scholarly achievement. PhD graduates will be able to use the skills they acquired during their studies to recognize and resolve complex problems in a broad area of application domains and across computer science, systems engineering, and applied mathematics. All students are based in the recently restored San Francesco complex, a fully integrated Campus in the historical center of the beautiful Tuscan city of Lucca. The Campus includes renewed residential facilities, an on-site canteen, study and living rooms, a state-of-the-art library and outdoor recreational spaces, which foster a unique cultural, professional and social environment for our doctoral program. Eligible students, in addition to free room and board, will also receive a research scholarship which amounts to approximately €13,600/year. Additional funding for research stages also will be provided. The PhD program at the IMT School attracts students from around the world, providing a truly international environment. English is the official language of the School. Moreover, all students will have the opportunity to spend periods abroad at research institutes, laboratories or universities, both within the Erasmus+ framework and through ad hoc mobility agreements. Most IMT School PhD Graduates have reached prominent roles in academics, governmental institutions, public and private companies or professions across the globe. For further information and to apply for this job, please click on the [More]
Job ID: 28065 Date Posted: 04/15/2016 Location: Center for Life Sciences Job Family: Research - Laboratory Full/Part Time: Full-Time Regular/Temporary: Regular FLSA Status: Exempt About Dana-Farber Located in Boston, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Scientific Research Director - cBio Center at Dana-Farber Cancer Institute As Scientific Research Director, play a central part in building the new interdisciplinary cBio Center at DFCI, focused on quantitative biology and knowledge systems, with collaborative links to Harvard Medical School (HMS) and the Broad Institute. We are creating an open and collaborative environment to address a range of scientific questions from basic research to clinical trials and precision medicine. Help us develop an agile and innovative program to generate scientific discoveries, serve the cancer research community with information resources and drive the next generation of cancer care. We are actively growing and plan to recruit several research and data science groups to the cBio Center over the next two years. About the new cBio Center at DFCI The interdisciplinary cBio Center at DFCI is headed by computational and systems biologist Chris Sander and hosted in the Department of Biostatistics and Computational Biology. Research at cBio addresses difficult and important questions about basic biology and cancer. Selected topics include overcoming resistance to targeted therapy, the design of personalized therapeutic interventions, quantitative models of evolutionary processes, as well as the prediction of protein and RNA structure, interactions and function in collaboration with the Marks lab at HMS. Our shared toolkit includes bench biology, high throughput experimental technology, and computational and data science methods, such as statistical physics and machine learning. Led by Ethan Cerami in the Center's Knowledge Systems Group, we develop enterprise-grade software and information services, such as the open source cBioPortal for Cancer Genomics, for translating research results to the clinic and build strong bridges between research and patients. We actively promote an open and collaborative environment that values scientific integrity and reproducibility. We reward creativity, innovation and team spirit and are looking to improve the work experience and the scientific process. [More]
Analysis, data visualization and bioinformatics API development. Experts in genomics, microbiology and data science and participate in.... From Monsanto - 15 May 2016 17:13:54 GMT - View all jobs [More]
In bioinformatics, computational biology, genetics, computer science or similar; As a Lead Bioinformatics Scientist, Cancer you will be responsible for the... From New York Genome Center - 13 May 2016 06:15:14 GMT - View all New York jobs [More]
MS with 2+ years work/research experience in bioinformatics, computer science, biology, biochemistry or similar;... From New York Genome Center - 13 May 2016 06:15:18 GMT - View all New York jobs [More]
Delivered high-quality internal machine learning tools and customer-facing data science solutions with the data science engineering teams.... From Endgame - 10 May 2016 20:35:52 GMT - View all jobs [More]
Use cutting-edge microscopy and collaborate with the world’s brightest minds to help conduct groundbreaking research and find cures for children around the world. Bring your expertise in image processing, computer vision, machine learning and imagery data to design novel algorithms to assist St. Jude scientists in the analysis of microscopy imagery and understand vital biological processes to advance pediatric cancer research. Your expertise will play a critical role in understanding brain development and pathophysiological basis of brain tumors and finding cures for children. As part of a team of world-renowned scientist dedicated to finding cures, the Bioimage Informatics Scientist will be responsible to: •Perform computational image analysis using extant software packages and custom-designed algorithms to quantitate and visualize biologically relevant metrics. •Collaborate with an external software development team in the Oak Ridge National Laboratory Imaging, Signals and Machine Learning R&D to design machine-learning based computational approaches to meet needs of rapidly evolving research. •Curate, store, update, and share bioimaging analysis software packages or custom developed algorithms. •Serve as liaison with St. Jude Computational Biology and Information Sciences Departments to facilitate the efforts in these areas. •Train and support user-directed operation of computational tools when necessary. [More]
And we will invest in the open-source R ecosystem in ways that help foster its evolution and add value to the data science community.... From Microsoft - 03 May 2016 22:42:46 GMT - View all Redmond jobs [More]