Job Description:
Research line 2: A systems biology approach to model experience and disease-induced modifications in NEUral and GENetic NETworks (NeuGenNet)
This multidisciplinary research programme has the overall goal of achieving new insights into the processes of normal and abnormal experience-induced modifications in brain and genetic networks, using mathematical tools and modelling approaches to bridge research domains and spatial scales of inquiry. The start-up of the programme will focus on advancing dynamic systems theories for modelling complex biological networks and applying these models to study: 1) the neural mechanisms of experience-induced changes in healthy brain networks and cognitive processes and 2) the genomic mechanisms underlying disease-induced changes in these networks and processes.
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We are looking for:
Candidates who are specialists in the approaches needed and who have the ambition and the competences to think and work outside the usual disciplinary boxes.
Postdocs will also be expected to contribute to teaching in current systems biology courses and in the future Maastricht University master’s programme in Systems Biology. Postdocs will be expected to compete for additional grants at the national and European levels, which will guarantee the sustainability of MaCSBio after the initial four-year start-up period.
We offer:
All positions are offered for a duration of four years.
After receiving a positive performance review and with enough perspective to create a sustainable centre after the first four years, postdocs will have ample opportunities to extend their stay or apply for tenure tracks within MaCSBio.
Post-doc salary is competitive, depending on qualifications and work experience. The salary will be set within salary scale 11 or 12 (with a possible preliminary scale) of the Collective Labour Agreement of Dutch Universities: a minimum of €3,259 and maximum of €5,070 gross per month for a full-time position.
In addition, postdocs receive a holiday bonus equal to 8% of their salary plus an 8.3% year-end allowance. Non-Dutch applicants could be eligible for favourable tax benefits (30% rule).
We offer you a stimulating scientific environment with excellent facilities for professional and personal development.
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NeuGenNet Postdoc 1
The task of the Postdoc will be to develop modeling and mathematical approaches to integrate data from different levels of inquiry, ranging from small networks to realistic models of sensory networks. The contributions will be focused on macro-aspects of the modeling and especially on understanding emergent complexity in large multi-scale networks. The ideal candidate has a PhD in theoretical physics, mathematics, engineering, or computer science, or related disciplines. She/he has a proven track record for her/his ability to integrate findings from several biological and neuroscience disciplines into large-scale neural networks.
Contact: Ronald Westra (westra@maastrichtuniversity.nl, +31-(0)-43-3883722), Kamil Uludag (kamil.uludag@maastrichtuniversity.nl, +31 (0)43 3881944)
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NeuGenNet Postdoc 2
The task of the Postdoc will be to develop functional models of small networks involving multiple cells using bio-mathematical and computational approaches. These models will represent integrated data from different levels of inquiry ranging from cellular/molecular to small networks.
Predicted functional relationships between genomic data and cellular network architectures (translational genomics) will be tested experimentally. The ideal candidate has a PhD in systems biology, translational or functional genomics, or related disciplines, and extensive wet-bench experience in a genomics lab.
Contact: Bert Smeets (bert.smeets@maastrichtuniversity.nl, +31 (0)43 3881995), Ronald Westra (westra@maastrichtuniversity.nl, +31-(0)-43-3883722)
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NeuGenNet Postdoc 3
The postdoc will develop innovative technologies and methods for combining systems level insights (e.g., derived from brain imaging) with genetics. The research position aims to investigate the mechanisms underlying learning and plasticity in healthy participants and patients from the perspective of the interaction between genomics and functional properties described at a system’s level. Statistical associations in high dimensional datasets will be carried out using pattern recognition and machine learning approaches. The ideal candidate will have a PhD in bioinformatics or biostatistics, applied statistics, or related fields, with a strong background in combining genetics and imaging.
Contact: Elia Formisano (e.formisano@maastrichtuniversity.nl, +31-(0)43-3884040), Ronald Westra (westra@maastrichtuniversity.nl, +31-(0)-43-3883722)
Additional Info:
[Click Here to Access the Original Job Post]
Research line 2: A systems biology approach to model experience and disease-induced modifications in NEUral and GENetic NETworks (NeuGenNet)
This multidisciplinary research programme has the overall goal of achieving new insights into the processes of normal and abnormal experience-induced modifications in brain and genetic networks, using mathematical tools and modelling approaches to bridge research domains and spatial scales of inquiry. The start-up of the programme will focus on advancing dynamic systems theories for modelling complex biological networks and applying these models to study: 1) the neural mechanisms of experience-induced changes in healthy brain networks and cognitive processes and 2) the genomic mechanisms underlying disease-induced changes in these networks and processes.
----
We are looking for:
Candidates who are specialists in the approaches needed and who have the ambition and the competences to think and work outside the usual disciplinary boxes.
Postdocs will also be expected to contribute to teaching in current systems biology courses and in the future Maastricht University master’s programme in Systems Biology. Postdocs will be expected to compete for additional grants at the national and European levels, which will guarantee the sustainability of MaCSBio after the initial four-year start-up period.
We offer:
All positions are offered for a duration of four years.
After receiving a positive performance review and with enough perspective to create a sustainable centre after the first four years, postdocs will have ample opportunities to extend their stay or apply for tenure tracks within MaCSBio.
Post-doc salary is competitive, depending on qualifications and work experience. The salary will be set within salary scale 11 or 12 (with a possible preliminary scale) of the Collective Labour Agreement of Dutch Universities: a minimum of €3,259 and maximum of €5,070 gross per month for a full-time position.
In addition, postdocs receive a holiday bonus equal to 8% of their salary plus an 8.3% year-end allowance. Non-Dutch applicants could be eligible for favourable tax benefits (30% rule).
We offer you a stimulating scientific environment with excellent facilities for professional and personal development.
----
NeuGenNet Postdoc 1
The task of the Postdoc will be to develop modeling and mathematical approaches to integrate data from different levels of inquiry, ranging from small networks to realistic models of sensory networks. The contributions will be focused on macro-aspects of the modeling and especially on understanding emergent complexity in large multi-scale networks. The ideal candidate has a PhD in theoretical physics, mathematics, engineering, or computer science, or related disciplines. She/he has a proven track record for her/his ability to integrate findings from several biological and neuroscience disciplines into large-scale neural networks.
Contact: Ronald Westra (westra@maastrichtuniversity.nl, +31-(0)-43-3883722), Kamil Uludag (kamil.uludag@maastrichtuniversity.nl, +31 (0)43 3881944)
----
NeuGenNet Postdoc 2
The task of the Postdoc will be to develop functional models of small networks involving multiple cells using bio-mathematical and computational approaches. These models will represent integrated data from different levels of inquiry ranging from cellular/molecular to small networks.
Predicted functional relationships between genomic data and cellular network architectures (translational genomics) will be tested experimentally. The ideal candidate has a PhD in systems biology, translational or functional genomics, or related disciplines, and extensive wet-bench experience in a genomics lab.
Contact: Bert Smeets (bert.smeets@maastrichtuniversity.nl, +31 (0)43 3881995), Ronald Westra (westra@maastrichtuniversity.nl, +31-(0)-43-3883722)
----
NeuGenNet Postdoc 3
The postdoc will develop innovative technologies and methods for combining systems level insights (e.g., derived from brain imaging) with genetics. The research position aims to investigate the mechanisms underlying learning and plasticity in healthy participants and patients from the perspective of the interaction between genomics and functional properties described at a system’s level. Statistical associations in high dimensional datasets will be carried out using pattern recognition and machine learning approaches. The ideal candidate will have a PhD in bioinformatics or biostatistics, applied statistics, or related fields, with a strong background in combining genetics and imaging.
Contact: Elia Formisano (e.formisano@maastrichtuniversity.nl, +31-(0)43-3884040), Ronald Westra (westra@maastrichtuniversity.nl, +31-(0)-43-3883722)
Requeriments :
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]