The Holstege lab with locations in both in Amsterdam and Leuven aims to unravel protective mechanisms against neurodegeneration by investigating cognitive healthy centenarians: those who live to extreme ages without dementia.
The Leuven team is leveraging brain samples from this remarkable cohort and will contrast them to an age continuum of healthy donors and individuals affected by various forms of neurodegeneration totaling to over 1500 human brain samples. Using an array of -omics techniques e.g. long read DNA sequencing single nuclei transcriptomics and multi-modal proteomics the team aims to identify genetic and genomic features that may convey protection against aging and neurodegeneration.
We expect the candidate to computationally address biological questions concerning resilience against neurodegeneration both within as well as across -omics modalities leveraging both in house as well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project (single cell transcriptomics proteomics or long-read DNA or RNA sequencing) will therefore be desirable. Tight collaboration with the bioinformatics team in Amsterdam will be critical thus good communication and organization skills are warranted. Given the size of the project we also expect close collaboration with the wet lab team to optimize workflows and procedures and to aid in data quality control storage and maintenance.
Profile
We are seeking a highly motivated efficient energetic and optimistic postdoctoral fellow with a strong interest in aging and neurodegeneration and a firm background in bioinformatics to join our team in Leuven.
A successful candidate:
- Has a masters degree in Bioinformatics and affinity with Computer Science Bio-engineering and Life Sciences
- Is proficient in pipeline design not only the application of existing pipelines
- Has experience with at least one of the following techniques: proteomics (lipidomics shot gun proteomics phosphoproteomics) single cell RNAseq long read DNA/RMA sequencing;
- Has experience with programming data visualization and data handling in Python R or related languages;
- Is proficient in Unix/Linux-based command line and cluster environments;
- Has strong verbal and written English communication skills;
- Is pro-active efficient well organized independent and a team-player.
We offer
- An exceptionally strong and international scientific research environment;
- Access to state-of-the-art infrastructure and technical support;
- A competitive compensation package based on expertise and experience;
- Financial support is available for at least 2 years. However the successful candidate is encouraged to obtain a personal fellowship (Marie-Curie HFSP EMBO or National funding organizations).
- Starting Date: as soon as possible
How to apply
Motivated candidates with a strong interest in neurodegeneration a team player mindset and with a strong commitment to computational research are invited to apply. Please complete the online application procedure and include a motivation letter CV (including a list of publications) a short synopsis of past research and the contact information of 2 to 3 referees. The best-ranked candidates will be invited for an interview. For further information and questions please send an email to Annerieke Sierksma ().
The Holstege lab with locations in both in Amsterdam and Leuven aims to unravel protective mechanisms against neurodegeneration by investigating cognitive healthy centenarians: those who live to extreme ages without dementia.The Leuven team is leveraging brain samples from this remarkable cohort and...
The Holstege lab with locations in both in Amsterdam and Leuven aims to unravel protective mechanisms against neurodegeneration by investigating cognitive healthy centenarians: those who live to extreme ages without dementia.
The Leuven team is leveraging brain samples from this remarkable cohort and will contrast them to an age continuum of healthy donors and individuals affected by various forms of neurodegeneration totaling to over 1500 human brain samples. Using an array of -omics techniques e.g. long read DNA sequencing single nuclei transcriptomics and multi-modal proteomics the team aims to identify genetic and genomic features that may convey protection against aging and neurodegeneration.
We expect the candidate to computationally address biological questions concerning resilience against neurodegeneration both within as well as across -omics modalities leveraging both in house as well as public databases. Expertise in the data analysis of one of the modalities that we will use in this project (single cell transcriptomics proteomics or long-read DNA or RNA sequencing) will therefore be desirable. Tight collaboration with the bioinformatics team in Amsterdam will be critical thus good communication and organization skills are warranted. Given the size of the project we also expect close collaboration with the wet lab team to optimize workflows and procedures and to aid in data quality control storage and maintenance.
Profile
We are seeking a highly motivated efficient energetic and optimistic postdoctoral fellow with a strong interest in aging and neurodegeneration and a firm background in bioinformatics to join our team in Leuven.
A successful candidate:
- Has a masters degree in Bioinformatics and affinity with Computer Science Bio-engineering and Life Sciences
- Is proficient in pipeline design not only the application of existing pipelines
- Has experience with at least one of the following techniques: proteomics (lipidomics shot gun proteomics phosphoproteomics) single cell RNAseq long read DNA/RMA sequencing;
- Has experience with programming data visualization and data handling in Python R or related languages;
- Is proficient in Unix/Linux-based command line and cluster environments;
- Has strong verbal and written English communication skills;
- Is pro-active efficient well organized independent and a team-player.
We offer
- An exceptionally strong and international scientific research environment;
- Access to state-of-the-art infrastructure and technical support;
- A competitive compensation package based on expertise and experience;
- Financial support is available for at least 2 years. However the successful candidate is encouraged to obtain a personal fellowship (Marie-Curie HFSP EMBO or National funding organizations).
- Starting Date: as soon as possible
How to apply
Motivated candidates with a strong interest in neurodegeneration a team player mindset and with a strong commitment to computational research are invited to apply. Please complete the online application procedure and include a motivation letter CV (including a list of publications) a short synopsis of past research and the contact information of 2 to 3 referees. The best-ranked candidates will be invited for an interview. For further information and questions please send an email to Annerieke Sierksma ().
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