Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


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Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


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AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Notice

AISB opportunities Bulletin Item

Postdoctoral Position in Quantative Image Analysis at Lawrence Berkeley Lab

http://jobs.lbl.gov/LBNLCareers/details.asp?jid=20098&p=1

Postdoctoral Position
at the LAWRENCE BERKELEY NATIONAL LAB,
IN QUANTITATIVE IMAGE AND STATISTICAL ANALYSIS OF BREAST TISSUE AT 
SUBCELLULAR RESOLUTION

The Knowles Lab (http://dwknowles.lbl.gov) is seeking a talented 
postdoctoral fellow in the area of quantitative image and statistical 
analysis to develop image-based methods to aid the early detection and 
sub classification of human mammary tumors.

This breast cancer project is a multidisciplinary effort between Life 
Sciences at LBNL, Basic Medical Sciences at Purdue, the Indiana Cancer 
Center, the Comprehensive Cancer Center at UCSF and the Institute for 
Data Analysis and Visualization at UC Davis. The goal is to link 
epigenetic organizational changes with in the nucleus with the phenotype 
or grade of normal, premalignant and malignant cultured and biopsied 
human mammary tissue. Working with 3D confocal images of human mammary 
tissue, the postdoctoral fellow will develop multidimensional features 
sets to describe the nuclear distribution of chromatin-related proteins 
at cellular resolution.

The applicant must have 1) a Ph.D. in computing science, biophysics, 
bioengineering or related field within the last four years; 2) 
Experience with single and multiphoton imaging techniques, 3) Expertise 
with C programming, linear systems, and advanced knowledge in image 
analysis techniques, 4) A demonstrated ability to conduct independent 
research as documented by a publication record. Experience with Matlab, 
the DIPimage toolbox, visualization techniques, bioinformatic 
techniques, cell biology and cancer biology would also be desirable.

This position is fully funded by a grant from the National Cancer Institute.

Applications to jobs.lbl.gov     
http://jobs.lbl.gov/LBNLCareers/details.asp?jid=20098&p=1