BEMÆRK: Ansøgningsfristen er overskredet
The Madsen group at the Section for Data Science and Statistics, Department of Mathematics and Computer Science, University of Southern Denmark (SDU) invites applications from outstanding postdoc candidates who are interested in joining the team and the Human Gene Regulation Map, a part of the new Novo Nordisk Foundation Center for Genomic Mechanisms of Disease (NNFC), in a two-year postdoc position. The position is available from 1 January 2024, or as soon as possible thereafter.
The Section for Data Science and Statistics
The Madsen group is located at the Section for Data Science and Statistics (DSS) at the Department of Mathematics and Computer Science, SDU. The DSS currently hosts sixteen independent research groups focusing on various aspects of data science, including three groups working with bioinformatics and computational biology. The section constitutes an international, ambitious, highly dynamic, and well-equipped working environment having access to state-of-the-art computing facilities, including high performance computing systems.
In addition to the DSS, the Madsen group is a partner in ambitious national and international research centres, in which the successful candidates can actively participate and (net)work:
Research Projects and Roles
As a postdoc in the Madsen group, you will be engaged in a highly ambitious project aimed at shedding new light on the regulatory and functional architecture of the human genome with the aim of furthering the understanding of how it contributes to health and disease. You will interact and collaborate closely with other researchers in the Madsen group as well as with members of the other research groups within the DSS, the department and the research centres.
The successful candidate will be embedded in the HGRM project with opportunities to collaborate closely with international partners in the centre. The candidate will be responsible for a project which aims to investigate how the DNA sequence in concert with transcription factors shape the transcriptome of cells. To achieve those aims, the successful candidate will apply recent machine learning architectures to both public and in-house high-throughput datasets, and subsequently interpret these models to glean new insights into the rules underlying enhancer architecture and control of the human genome.
Qualifications/Requirements
We are looking for highly motivated, dedicated, and ambitious candidates with:
- A PhD degree in Applied Mathematics, Data Science, Bioinformatics, Computational Biology, or a closely related field.
- Documented experience with statistical programming (e.g. Python).
- Documented experience with applied machine learning.
- Experience with -omics data analysis (e.g. bulk and single-cell or single-nucleus RNA-seq and ATAC-seq).
- Strong communication and collaborative skills and an interest in working in an interdisciplinary environment.
- Proficiency in spoken and written English.
We offer:
- A two-year postdoc position in a stimulating and supportive, international research environment.
- Access to state-of-the-art equipment, facilities, and infrastructure.
- Opportunity to interact with an extensive network of national and international collaborators.
- A competitive salary and social benefits (e.g. health coverage, parental leave, social security etc.).
- Dedicated assistance and support with various practical, social, and legal aspects (housing, visa, administration, tax etc.), especially for international candidates through our international staff office (ISO) and department.
Deadline: 1 November 2023.
Please see the full call, including how to apply, on www.sdu.dk.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Odense Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Syddansk Universitet, Campusvej, 5230 Odense M
-Ansøgning:
Ansøgningsfrist: 01-11-2023; - ansøgningsfristen er overskredet
Ved skriftlig henvendelse: www.sdu.dk
Se mere her: https://job.jobnet.dk/find-job/5906099
