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4,135

Market Research Analyst jobs in Brazil

Research Associate in Statistical Image Analysis (Fixed Term)

The International Society for Bayesian Analysis

Great Shelford
On-site
GBP 30,000 - 35,000
30+ days ago
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Biomedical Scientist - Biochemistry - Marylebone - Sanctuary Personal

Sanctuary Personnel Ltd

City Of London
On-site
GBP 60,000 - 80,000
30+ days ago

Research Associate in Bayesian Non Parametric at Imperial College London

The International Society for Bayesian Analysis

City Of London
On-site
GBP 35,000 - 45,000
30+ days ago

Research Associate in Modern Statistics, Global Health, and Conservation Ecology

The International Society for Bayesian Analysis

City Of London
On-site
GBP 43,000 - 51,000
30+ days ago

Senior research associate in physical oceanography, University of East Anglia

MPOWIR Mentoring Physical Oceanography Women to Increase Retention

Norwich
On-site
GBP 35,000 - 45,000
30+ days ago
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Senior Associate Researcher (Project Management and Reporting): Equity Research Cooperative

Bryn Mawr College

Wales
Remote
GBP 60,000 - 80,000
30+ days ago

Senior Scientist – FISH - Fluorescent In Situ Hybridisation

taylorollinson Ltd

United Kingdom
On-site
GBP 40,000 - 43,000
30+ days ago

Research Associate – Imperial College London

MPOWIR Mentoring Physical Oceanography Women to Increase Retention

City Of London
On-site
GBP 32,000 - 35,000
30+ days ago
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Senior Machine Learning Researcher - Handwriting

Goodnotes

City Of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

Research Associate in Numerical Analysis and Scientific Computing, Imperial College London

MPOWIR Mentoring Physical Oceanography Women to Increase Retention

City Of London
On-site
GBP 30,000 - 45,000
30+ days ago

Senior Research Scientist, Cohere Labs

Cohere

City Of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

Remote Tech Executive Sourcer & Talent Researcher

Sxaler

City Of London
Remote
GBP 40,000 - 70,000
30+ days ago

Talent Researcher/Sourcer

Sxaler

City Of London
Remote
GBP 40,000 - 70,000
30+ days ago

MEV Defi Quant Researcher/Trader (300K - 800k)

Fionics

City Of London
On-site
GBP 70,000 - 90,000
30+ days ago

Educational Psychologist

Pertemps

England
On-site
GBP 60,000 - 80,000
30+ days ago

Educational Psychologist — Remote/Hybrid Role in Schools

Pertemps

England
On-site
GBP 60,000 - 80,000
30+ days ago

Quant Researcher - HPC & Trading Systems

WorksHub

City Of London
On-site
GBP 60,000 - 80,000
30+ days ago

Quant Researcher Latency Driven Trading in London - Quant Capital

WorksHub

City Of London
On-site
GBP 60,000 - 80,000
30+ days ago

Haematology & Blood Transfusion Specialist Scientist

East Suffolk and North Essex NHS Foundation Trust

Colchester
On-site
GBP 38,000 - 47,000
30+ days ago

Data Scientist - Placement Year

BMW Group

Birmingham
On-site
GBP 27,000
30+ days ago

Equities Quant Researcher in London - Quant Capital

WorksHub

City Of London
On-site
GBP 80,000 - 100,000
30+ days ago

Researcher

JAC Recruitment (UK) Ltd.

City Of London
On-site
GBP 35,000 - 50,000
30+ days ago

Director, Scientific Services

Prime

City Of London
Hybrid
GBP 125,000 - 150,000
30+ days ago

Director, Scientific Services — Lead Medical Communications (Hybrid)

Prime

City Of London
Hybrid
GBP 125,000 - 150,000
30+ days ago

Senior Researcher / Team Leader – Education executive search

Carlin Hall Ltd

City Of London
On-site
GBP 50,000 - 65,000
30+ days ago
Research Associate in Statistical Image Analysis (Fixed Term)
The International Society for Bayesian Analysis
Great Shelford
On-site
GBP 30,000 - 35,000
Full time
30+ days ago

Job summary

A leading research institution is seeking a Research Associate to work on developing statistical methods for analyzing blood smear images. This role involves building models for cell identification and classification, requiring a PhD in a related field. The successful candidate will collaborate with a team and contribute to significant biomedical research in a vibrant academic environment.

Qualifications

  • Experience developing statistical methodologies or machine learning algorithms.
  • Ability to develop research approaches independently.
  • Strong writing skills for drafting manuscripts.

Responsibilities

  • Develop models and methods to identify and classify cells in blood smear images.
  • Implement computationally efficient algorithms for data analysis.
  • Contribute to publications and presentations at scientific conferences.

Skills

Statistical methodology development
Machine learning algorithms
Image processing techniques

Education

PhD in statistics, applied mathematics, computer science, engineering or machine learning
Job description
Research Associate in Statistical Image Analysis (Fixed Term)

Aug 31, 2018

The Department of Public Health and Primary Care, in collaboration with the Statistical Laboratory, University of Cambridge is seeking to recruit a talented and ambitious post-doctoral researcher with a PhD in statistics, applied mathematics, computer science, engineering or machine learning or have equivalent qualifications or experience. The successful applicant will join a research project, funded by the Alan Turing Institute and the British Heart Foundation, the aim of which is to develop statistical and machine learning methods for the analysis and interpretation of digitised peripheral blood smear images. The project is a collaboration including scientists in the Department of Public Health and Primary Care (Dr William Astle, Dr Emanuele Di Angelantonio) and the Statistical Laboratory of the Department of Pure Mathematics and Mathematical Statistics (Prof. John Aston).

The goal of the collaboration is to derive biologically interpretable haematological parameters from clinical blood smears. The appointee will develop models and methods to identify cells in blood smear images, to classify cells according to type and to segment cellular images into components corresponding to different biological structures. S/he will implement computationally efficient algorithms to perform these inferences and apply the algorithms to real data.

30,000 smears have been acquired from participants in the COMPARE study of healthy NHS Blood and Transplant donors and the smears have been digitally imaged with the Sysmex CellaVision DM96 system. UK Biobank are collecting smears from 80,000 participants and digitising them using the same imaging system. The algorithms developed for the project will thus eventually be applicable to smears from 100,000 healthy people and will create a major resource for biomedical research.

Applicants should have experience developing statistical methodology or machine learning algorithms. Prior experience developing or applying image processing techniques is desirable but not essential. Applicants will need to demonstrate an ability to develop research approaches independently, draft high quality manuscripts for publication and give presentations at scientific conferences.

Appointment at Research Associate level is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be, awarded appointment will initially be made at research assistant and amended to research associate when the PhD has been awarded.

Funding for the post is available for 30 months from commencement in post.

Location – Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN (approx 2 miles south of city centre)

Informal enquiries may be directed to Dr William Astle (wja24@cam.ac.uk).

To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Interview Date: Between 22nd October 2018 and 9th November 2018

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents, which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager.

Please quote reference RH16629 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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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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