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Open positions

A variety of PhD, Postdoc and Clinical Fellow positions are currently open, or shall be opening shortly. Please send your c.v. to recruit.recon4imd(at)gmail.com with a one paragraph letter of motivation that indicates the work-package and task(s) below that match your interests and experience. Formal applications at the corresponding institutions may subsequently be solicited.

WP1. Clinical recruitment

Partners: ASUFC, UKHD, UMCG-Derks, TUB-Graessner, TUB-Haack, UCL-Rahman, UNIAMO.

Tasks

1.1 Coordination of patient recruitment and data stewardship

1.2 Proactive patient engagement

1.3 Recruitment via established IMD patient registries

1.4 Recruitment from Solve-RD

WP2. Metabolic network-based classification

Partners: NUIG-Thiele, NUIG-Fleming, UMCG-Bakker, ULEI-Hankemeier, TUM-Prokisch.

Tasks

2.1 Metabolomic analysis of patient biofluid samples

2.2 Proteomic analysis of patient fibroblast samples

2.3 Prediction of metabolic biomarkers using whole-body metabolic modelling

2.4 Prediction of causal genes using whole-body metabolic modelling

2.5 Extension of whole-body metabolic models with kinetic constraints

2.6 Clinical deployment of software for metabolic network-based IMD diagnosis

WP3. Enzyme structure-guided classification

Partners: UNEW-Yue, UOX-Marsden

Tasks

3.1 Prediction of the three-dimensional structure of enzyme variants

3.2 Experimental characterisation of dysfunctional enzyme variants

3.3 Development of software for automated enzyme structure-guided classification

3.4 Identification of druggable enzyme variants

WP4. Classification of genomic variants of unknown significance

Partners: TUB-Haack, UOX-Marsden, NUIG-Thiele

Tasks

4.1 Selection of patients with genomic variants of known and unknown significance

4.2 Prediction of causative gene variants by personalised whole-body metabolic modelling

4.3 Prediction of dysfunctional amino acid variants by modelling of enzyme structure

4.4 Development of clinically accessible software for interpretation of genomic variants

WP5. Reconstruction of human metabolic networks

Partners: NUIG-Fleming, SIB-Bridge, SIB-Pagni, UOS-Holthuis, NUIG-Thiele.

Tasks

5.1 ReconXKG: an open workspace for human metabolic network reconstruction

5.2 Reconstruction of cellular and organellar membrane bilayers

5.3 Chemical and catalytic specification of human lipid metabolism

5.4 Development of enhanced sex-specific, whole-body metabolic models

WP6. Personalised disease modelling

Partners: ASUFC-Scarpa, ULEI-Aerts, ULEI-Hankemeier, NUIG-Fleming.

Tasks

6.1 Personalised management of Gaucher disease patients

6.2 Optimisation of personalised therapies for Gaucher disease

6.3 Metabolomic analyses of Gaucher disease

6.4 Computational modelling of cell-type specific metabolism in Gaucher disease

6.5 Fluxomic analyses of in vitro models of Gaucher disease

6.6 Prioritised personalised disease modelling of additional IMDs

WP7. Development of Software Medical Devices

Partners: DKIT-McCaffery, TUB-Haack, UOX-Marsden, NUIG-Fleming, NUIG-Thiele.

Tasks

7.1 A novel software process assessment model for AI-enabled software medical devices

7.2 Translation of academic software into software medical devices

7.3 Clinically accessible personalised modelling software for IMDs

WP8. Exploitation

Partners: UNIAMO, ASUFC, UKHD-Koelker, TUB-Haack, NUIG-Fleming, ULEI-Hankemeier

Tasks

8.1 Assessment of stakeholder perspectives on the exploitation of novel diagnostic technologies

8.2 A plan for a European foundation for personalised diagnosis and management of IMDs

WP9. Dissemination, training and outreach

Partners: NUIG-Fleming and others.

Tasks

9.1 Establish the overall communication and dissemination framework

9.2 Coordinate and implement communication and dissemination frameworks

9.3 Establish a continuous learning environment

9.4 Establish the Recon4IMD IP and data management frameworks

Specific positions currently being advertised

Senior Researcher for Reconstruction and Computational Modelling for Inherited Metabolic Diseases (Recon4IMD) project.

This is a senior position in the Regulated Software Research Centre (RSRC) within the School of Informatics and Creative Arts in DkIT. The successful candidate will join the Reconstruction and Computational Modelling for Inherited Metabolic Diseases (Recon4IMD) project.

Salary Range: Postdoc PD1.1 to PD1.4 - €42,783 to €46,569 depending on experience

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Postdoctoral Researcher to work on “Lipid Network Reconstruction and Computational Modeling for Inherited Metabolic Diseases” in The HOLTHUIS LAB

The position is embedded in Recon4IMD, an EU-funded consortium of membrane biochemists, systems biologists, clinical researchers and patient organizations who seek to accelerate the diagnosis of inherited metabolic diseases (IMDs) by personalized genomic, proteomic and metabolomic data-driven computer models (www.recon4imd.org).

Salary Range: E13/100% level according to the German TV-L scale

The position is temporarily limited until 31.05.2027.

Application Deadline: 31 January 2024

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