Eligible to be employed as a postdoctoral fellow is a person who has completed a doctoral degree, or a foreign degree that is considered comparable to a doctoral degree, in medical physics, physics, statistics, computer science, mathematics or a similar subject. This eligibility requirement must be met at the latest at the time when the employment decision is made. A very good command of written and spoken English is required. Previous experience of image processing and programming is also required. Since employment as a postdoctoral fellow constitutes a merit-based employment for junior researchers, we primarily target those who have a doctoral degree that is not older than three years from the last application date.

The applicant should have a Ph.D. degree in a relevant area, such as bioinformatics, statistics or computer science. The Ph.D. degree should normally not be obtained more than three years before the application. Previous experience with machine learning and/or artificial intelligence and genomics is meritorious. The applicant should also be experienced in programming (Python/R or equivalent languages) and used to working with big data computing solutions. Strong communicative skills and fluency in written and spoken English are a requirement.

Our lab combines cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches to develop rapid, generally applicable workflows for the discovery and utilization of bioactive molecules derived from plants. We are looking for talented and motivated computational researchers to join our team. The successful candidate for this position will be developing the next generation of the MZmine platform for mass spectrometry data processing in metabolomics. Among other things, we are aiming to add full support for ion mobility spectroscopy (IMS) to MZmine, and to enhance its molecular networking capabilities. The IOCB is one of the leading research institutes in central Europe with a vibrant international environment and excellent equipment and core facilities located in modern buildings close to the Prague city center.

The postdoctoral position is for a term of 2 years. Research activities are organized into groups and strategic European and National projects as documented here http://www.ntnu.edu/idi/research. Further information can be found at the department's and the group's web pages. As part of their strategic partnership, DNB and NTNU are funding 1 postdoc and 3 PhD positions in a joint R&I project focusing on research in Big Data analytics and machine learning. With this project, the two parties will create an attractive environment for education, research and innovation, executed in close collaboration with the ongoing research and innovation efforts at the Telenor-NTNU AI-Lab.

Dear colleagues, We are looking for two Postdoctoral Research Associates with a background in electrical engineering, physics, statistics or computer science to work on a research project involving the application of machine learning methods to structural Magnetic Resonance Imaging data. The project is a collaboration between King's College London, UK (Dr. Vince Calhoun) and the Universidade Federal do ABC, Brazil (Prof João Sato). The post holders will be based at the Institute of Psychiatry, Psychology & Neuroscience (King's College London). I would be happy to answer any queries from prospective applicants.

I keep posting ads for postdocs with other people but this is actually to work with little old me! The Department of Electrical and Computer Engineering (ECE) at Rutgers University is seeking a dynamic and motivated Postdoctoral Fellow to work on developing distributed machine learning algorithms that work on complex neuroimaging data. This work is in collaboration with the Mind Research Network in Albuquerque, New Mexico under NIH Grant 1R01DA040487-01A1. Candidates with a Ph.D. in Electrical Engineering, Computer Science, Statistics or related areas with experience in one of The Fellow will receive valuable experience in translational research as well as career mentoring, opportunities to collaborate with others outside the project within the ECE Department, DIMACS, and other institutions.The initial appointment is for 1 year but can be renewed subject to approval. Salary and compensation will be commensurate with the standard NIH scale for postdocs.

PAVIS department at Istituto Italiano di Tecnologia (IIT) (http://www.iit.it/pavis) is looking for a highly qualified candidate with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior understanding and prediction. As the activities may be carried out in collaboration with other research units inside IIT, previous multidisciplinary experience is an added value which will be duly considered. The main mission of PAVIS (Pattern Analysis and Computer Vision) is to design and develop innovative video surveillance systems, characterized by the use of highly-functional smart sensors and advanced video analytics features. PAVIS also plays an active role in supporting the other research units inside IIT providing scientists in Neuroscience, Nanophysics and other departments/centers with ad-hoc solutions. To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal\multimedia data analysis and sensor fusion, and embedded computer vision systems.