Research Associate (Fixed Term)
Minderoo Centre for Technology and Democracy
Date: 15 hours ago
City: Cambridge
Contract type: Full time
Fixed-term: The funds for this post are available for 12 months in the first instance.
A Post-Doctoral Research Associate position is available in the laboratory of Prof Knowles on a project which explores the generation of antimicrobial peptides using high throughput microfluidic approaches combined with AI approaches.
Candidates should have (or be about to obtain) a PhD in molecular biology, biochemistry or chemistry. Experience with developing and/or using AI tools for analysis of large sequence datasets is not required but would be an advantage.
Appointment at the Research Associate level is dependent on the award of a PhD. Those who have submitted but not yet received their PhD will be appointed at the Research Assistant level, which will be amended to Research Associate once the award of the PhD has been confirmed.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure that you upload your Curriculum Vitae (CV), a covering letter and include a publications list in the upload section of the online application. If you upload any additional documents that have not been requested, we will not be able to consider these as part of your application.
Inquiries about this post should be addressed to Prof Knowles [email protected]
Please quote reference MA47259 on your application and in any correspondence about this vacancy.
The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
A Post-Doctoral Research Associate position is available in the laboratory of Prof Knowles on a project which explores the generation of antimicrobial peptides using high throughput microfluidic approaches combined with AI approaches.
Candidates should have (or be about to obtain) a PhD in molecular biology, biochemistry or chemistry. Experience with developing and/or using AI tools for analysis of large sequence datasets is not required but would be an advantage.
Appointment at the Research Associate level is dependent on the award of a PhD. Those who have submitted but not yet received their PhD will be appointed at the Research Assistant level, which will be amended to Research Associate once the award of the PhD has been confirmed.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure that you upload your Curriculum Vitae (CV), a covering letter and include a publications list in the upload section of the online application. If you upload any additional documents that have not been requested, we will not be able to consider these as part of your application.
Inquiries about this post should be addressed to Prof Knowles [email protected]
Please quote reference MA47259 on your application and in any correspondence about this vacancy.
The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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