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Clinical Research Associate jobs in United Kingdom

Research Associate in Bioprocess Modelling and Optimisation

The University of Manchester

Manchester
Hybrid
GBP 30,000 - 40,000
30+ days ago
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Postdoctoral Research Associate in Archaeology and Agent-Based Modelling

Durham University

North East
On-site
GBP 30,000 - 40,000
30+ days ago

Research Associate - Service Fulfillment

Nuclera

Cambridge
On-site
GBP 30,000 - 45,000
30+ days ago

Research Associate

Kingston University

Kingston upon Thames
On-site
GBP 30,000 - 40,000
30+ days ago

Research Associate - Formal Methods for Autonomous Robotics

The University of Manchester

Manchester
Hybrid
GBP 60,000 - 80,000
30+ days ago
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Postdoctoral Research Associate in Single Molecule Biophysics

University of Oxford

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

Senior Research Associate

AbbVie

England
On-site
GBP 25,000 - 35,000
30+ days ago

Research Associate - Safety Pharmacology

HAR Labcorp Early Development Laboratories Limited

Harrogate
On-site
GBP 25,000 - 35,000
30+ days ago
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Research Associate - Safety Pharmacology

Labcorp

Harrogate
On-site
GBP 25,000 - 35,000
30+ days ago

Research Associate

University of Cambridge

Cambridge
On-site
GBP 30,000 - 45,000
30+ days ago

Research Associate (PDRA) in Fungal Infection Biology

The University of Manchester

Manchester
Hybrid
GBP 30,000 - 40,000
30+ days ago

Multi Asset Research Associate

Northern Trust

London
On-site
GBP 50,000 - 70,000
30+ days ago

Research Associate

Nottingham Trent University

Nottingham
Hybrid
GBP 28,000 - 33,000
30+ days ago

Research Associate in Robust Feedback Control Theory

The University of Manchester

Manchester
Hybrid
GBP 40,000 - 50,000
30+ days ago

Research Associate (Part Time, Fixed Term)

University of Cambridge

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

Research Associate

Omnicom Health

Macclesfield
On-site
GBP 25,000 - 35,000
30+ days ago

Research Associate

University of Sheffield

Sheffield
On-site
GBP 30,000 - 40,000
30+ days ago

Research Associates - Banking and Retail Technology, Cards and Payments (Languages Required)

DATOS INSIGHTS

Twickenham
On-site
GBP 30,000 - 40,000
30+ days ago

Postdoctoral Research Associate

Durham University

North East
On-site
GBP 35,000 - 43,000
30+ days ago

Research Associate – Imperial College London

MPOWIR Mentoring Physical Oceanography Women to Increase Retention

London
On-site
GBP 35,000 - 41,000
30+ days ago

Research Associate (AI Engineer) - Department of Cancer and Genomic Sciences - 105943 - Grade 6

University of Birmingham

Birmingham
On-site
GBP 32,000 - 36,000
30+ days ago

Research Associate Deep learning and Fetal Neurosonography

University of Oxford

Oxford
On-site
GBP 34,000 - 44,000
30+ days ago

Research Associate - School of Chemical Engineering - 106095 - Grade 6

University of Birmingham

Birmingham
On-site
GBP 32,000 - 36,000
30+ days ago

Research Associate

University of Leicester School of Business

Leicester
On-site
GBP 30,000 - 45,000
30+ days ago

Market Research Associate (Scandinavian languages) - Remote

M3 Global Research

London
Remote
GBP 30,000 - 45,000
30+ days ago

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Research Associate in Bioprocess Modelling and Optimisation
The University of Manchester
Manchester
Hybrid
GBP 30,000 - 40,000
Full time
30+ days ago

Job summary

A leading educational institution in Manchester is seeking a Postdoctoral Research Associate to advance innovative algae-based carbon capture technology. The role involves developing models, optimising processes, and working collaboratively with industry partners. Candidates should have a PhD or be nearly complete in a relevant field, with skills in process modelling and machine learning. This position offers excellent benefits including a market-leading pension scheme and emphasis on equality and diversity.

Benefits

Market leading Pension scheme
Employee health and wellbeing services
Exceptional annual leave entitlement
Paid closure during Christmas
Local and national discounts

Qualifications

  • Candidates should hold or be nearing completion of a PhD.
  • Experience in algal bioprocess modelling and optimisation is desirable.
  • Prior experience with machine learning and data-driven modelling is a plus.

Responsibilities

  • Develop, evaluate, and optimise the ACCU process.
  • Work closely with project partners on digital twin modelling.
  • Contribute to joint publications and participate in meetings.

Skills

Dynamic process modelling
Bioprocess optimisation
Machine learning
Data-driven modelling
Algal biotechnology

Education

PhD in chemical/biochemical engineering or related discipline

Tools

Process simulation software
Modelling software
Job description
Background

We are seeking to recruit a Postdoctoral Research Associate (PDRA) to work under the supervision of Dr. Dongda Zhang at the Department of Chemical Engineering, the University of Manchester. This project aims to advance and demonstrate the industrial feasibility of an innovative two-stage algae-based carbon capture and utilisation (ACCU) technology, with the goal of derisking scale-up and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and optimisation, and business case analysis, tailored to real-world industrial partner sites. The project will be delivered in close collaboration with Loughborough University, Heriot-Watt University, and three industrial partners from different sectors, providing a unique opportunity to address carbon emissions from small- to medium-scale emitters while generating high-value products and co-benefits such as wastewater treatment and biogas upgrading.

Overall Purpose of the Job

The main purpose of the role is to develop, evaluate, and optimise the innovative two-stage algae-based carbon capture and utilisation (ACCU) process, working closely with project partners to integrate experimental results, digital twin modelling, process optimisation, and whole-system analysis into industrially relevant solutions. The PDRA will contribute to model based design of experiments, algal bioprocess modelling and optimisation, machine learning and data-driven modelling, and business case development, ensuring the technology is optimised for deployment across diverse industrial sites. Candidates should already hold or be nearing completion of a PhD in chemical/biochemical engineering, process systems engineering, environmental engineering, or a related discipline, with expertise in dynamic process modelling, bioprocess optimisation, or machine learning/data-driven/hybrid modelling. The candidate is expected to engage actively with academic and industrial collaborators, present results regularly to project partners, participate in progress meetings, and contribute to joint publications. Prior experience in algal biotechnology, bioprocess modelling and optimisation, or machine learning and data-driven modelling is desirable and particularly welcome.

What you will get in return:
  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers
The School/Department is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School/Department holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. All appointment will be made on merit. For further information, please visit: http://www.ceas.manchester.ac.uk/about-us/athena-swan/

Our University is positive about flexible working - you can find out more here

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk . Any CV's submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Dr Dongda Zhang

Email: dongda.zhang@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.
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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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