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Java jobs in United Kingdom

Postdoctoral position in Natural Language Processing and Text Mining

NLP PEOPLE

Manchester
On-site
GBP 30,000 - 45,000
30+ days ago
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Computational Linguist

NLP PEOPLE

East Horsley
Hybrid
GBP 40,000 - 70,000
30+ days ago

Permanent academic vacancy: Computer Science

NLP PEOPLE

Leeds
On-site
GBP 35,000 - 45,000
30+ days ago

Senior Software Engineer

MBDA UK Ltd

Bristol
Hybrid
GBP 48,000 - 64,000
30+ days ago

Back-end Developer

Nixor Recruitment

Oxford
On-site
GBP 40,000 - 60,000
30+ days ago
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Senior Back-End Developer: Build & Scale Web Apps

Nixor Recruitment

Oxford
On-site
GBP 40,000 - 60,000
30+ days ago

Applications Engineer

Luminance

Cambridge
On-site
GBP 30,000 - 50,000
30+ days ago

Java Developer (Settlements)

Synechron

Glasgow
On-site
GBP 60,000 - 90,000
30+ days ago
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Bristol
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GBP 50,000 - 70,000
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GBP 50,000 - 80,000
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GBP 60,000 - 80,000
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Milton Keynes
Hybrid
GBP 60,000 - 80,000
30+ days ago

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GBP 40,000 - 55,000
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Postdoctoral position in Natural Language Processing and Text Mining
NLP PEOPLE
Manchester
On-site
GBP 30,000 - 45,000
Full time
30+ days ago

Job summary

The University of Manchester invites applications for a postdoctoral position at the National Centre for Text Mining. Joining a leading research team, the successful candidate will research advanced methods in Natural Language Processing and Text Mining, contributing to significant biomedical text mining initiatives.

Qualifications

  • Strong background in Natural Language Processing.
  • Experience in developing algorithms for text mining.
  • Strong publications in top conferences (ACL, EMNLP, Coling).

Responsibilities

  • Conduct research in extracting facts/events from literature.
  • Work on DARPA-funded project related to Big Cancer Mechanism.
  • Develop and adapt algorithms and software for text mining.

Skills

Natural Language Processing
Text Mining
Java
Weakly Supervised Methods
Information Extraction

Education

Ph.D.

Tools

UIMA
RDF/SPARQL
Job description

Applications are invited for one postdoctoral position in Natural Language Processing and Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester to work with Prof. Sophia Ananiadou.

The candidate will be joining a team working on a DARPA-funded project concerned with the Big Cancer Mechanism initiative. The objectives of the post are to conduct research into extracting facts/events from the scientific literature and clinical case reports using adaptive text mining, semantic parsing and co-reference.

The National Centre for Text Mining (http://www.nactem.ac.uk/) has been a leading centre for biomedical text mining since 2005, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems. The Centre is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk/) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the “best environment in the UK for computer science and
informatics research”.

Further particulars:
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=9668

Company:

University of Manchester, Computer Science

Qualifications:

Candidates are expected to have a very strong background in Natural Language Processing, in particular using weakly supervised methods, excellent knowledge in developing and adapting algorithms and software
for text mining systems. A strong track record of high-quality papers in conferences such as ACL, EMNLP, Coling, etc., is highly desirable. Strong Java skills, knowledge of UIMA and RDF/SPARQL are essential.

Educational level:

Ph. D.

Tagged as: Academia, Classification, Information Extraction, NLP, Parsing, Ph. D., United Kingdom

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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