Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Postdoc Bioinformatics & Postdoc in Bio-medical Data Mining in Heidelberg, Germany

    We currently have two Postdoc positions available at the University Hospital Heidelberg, Germany:

    Position 1:

    Postdoc Bioinformatics / Systems Cardiology (m/f)

    Starting date: 1 February 2017 or later / Duration: Initially 18 months; option of further extension.

    The successful applicant will enter a collaborative project focusing on transcriptome-wide approaches to study RBP and
    ncRNA function in heart disease and remodeling. This project will build on RNA-seq data from animal models (rat, mouse and
    zebrafish) and patient samples and integrates with publicly available interaction data. Our bio-medical research questions will
    illuminate gene regulation on the network level in cardiac development, stress and regeneration. The postdoc will work in close
    collaboration with experimental scientists from the Kurian Lab in Cologne and on-site labs in Heidelberg. The project is partially
    funded through the German Center for Cardiovascular Research (DZHK).

    Tasks
    • Elucidate roles of ncRNAs and RBPs across different model systems
    • Build and perform network level analyses of gene regulation
    • Self-dependent hypothesis generation on function and mechanisms
    • Suggest well-informed experiments to internal and external partners


    Required Qualifications
    • PhD in Bioinformatics, Computational Biology, Systems Biology or closely related areas
    • Strong experience in analysis of transcriptome-wide data sets
    • Excellent programming skills (at least in one of Python, Perl or JAVA)
    • Familiarity with R would be an asset
    • Solid background knowledge in RNA biology


    What we offer
    The Dieterich Lab (www.dieterichlab.org) offers a stimulating, diverse and international research environment.
    The University Hospital Heidelberg is one of the major healthcare centers in Germany. Our objective is the development of
    innovative diagnostics and therapies as well as their quick implementation for the patient. With about 10,000 employees in
    more than 50 specialized clinical departments with roughly 1,900 beds, about 66,000 patients in part-time and full-time
    inpatient treatment as well as 1,000,000 patients in ambulant treatment are medicated each year.

    Contact & Application
    Applications including all relevant credentials should be sent to (email: in ONE pdf-file):

    University Hospital Heidelberg
    Department of Internal Medicine III
    Section of Bioinformatics & Systems Cardiology
    Prof. Dr. rer. nat. Christoph Dieterich
    Im Neuenheimer Feld 669
    69120 Heidelberg
    [email protected]


    Position 2:

    Postdoc in Bio-medical Data Mining and Machine Learning (m/f)

    Starting date: 1 May 2017 / Duration: Initially 2 years; option of further extension.

    The successful applicant will enter a collaborative research environment focusing on data-driven
    approaches to advance our understanding of cardiovascular health and disease. We are looking for
    a talented investigator to integrate molecular data from different levels of biology with phenotypic
    data from animal models and electronic health records.

    Tasks
    You will apply unsupervised and supervised machine learning techniques to genomic, molecular and
    phenotypic data from heart development, regeneration and disease models. We are specifically
    interested in new methods for time-resolved, network-level and cross-species/individual analyses.
    You will explore how variations between individuals (genetic, lifestyle) could lead to different
    phenotypic outcomes.


    Required Qualifications
    You will require a PhD in a relevant field, and possess expertise in machine learning, Bayesian
    statistics, or a related discipline, and have experience of working in a highly interdisciplinary team. A
    proven competence in mathematics and programming data analysis methods as well as a strong
    interest in bio-medical topics is also essential.

    What we offer
    The Dieterich Lab (www.dieterichlab.org) offers a stimulating, diverse and international research
    environment. We are embedded in a vibrant community of cardiovascular research labs and
    collaborate with many experimentally or theoretically oriented labs in the Heidelberg area.
    The University Hospital Heidelberg is one of the major healthcare centers in Germany. Our objective
    is the development of innovative diagnostics and therapies as well as their quick implementation for
    the patient. With about 10,000 employees in more than 50 specialized clinical departments with
    roughly 1,900 beds, about 66,000 patients in part-time and full-time inpatient treatment as well as
    1,000,000 patients in ambulant treatment are medicated each year.


    Contact & Application
    Please upload a covering letter/supporting statement, including a brief statement of research interests, CV and the details of two referees as part of your online application.
    Applications should be sent by email in ONE pdf-file to

    [email protected]
    Please do not hesitate to contact us if you have any further questions.
    University Hospital Heidelberg
    Department of Internal Medicine III
    Section of Bioinformatics & Systems Cardiology
    Prof. Dr. rer. nat. Christoph Dieterich
    Im Neuenheimer Feld 669
    69120 Heidelberg
    [email protected]
    Attached Files

Latest Articles

Collapse

  • seqadmin
    Strategies for Sequencing Challenging Samples
    by seqadmin


    Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
    03-22-2024, 06:39 AM
  • seqadmin
    Techniques and Challenges in Conservation Genomics
    by seqadmin



    The field of conservation genomics centers on applying genomics technologies in support of conservation efforts and the preservation of biodiversity. This article features interviews with two researchers who showcase their innovative work and highlight the current state and future of conservation genomics.

    Avian Conservation
    Matthew DeSaix, a recent doctoral graduate from Kristen Ruegg’s lab at The University of Colorado, shared that most of his research...
    03-08-2024, 10:41 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, Yesterday, 06:37 PM
0 responses
8 views
0 likes
Last Post seqadmin  
Started by seqadmin, Yesterday, 06:07 PM
0 responses
8 views
0 likes
Last Post seqadmin  
Started by seqadmin, 03-22-2024, 10:03 AM
0 responses
49 views
0 likes
Last Post seqadmin  
Started by seqadmin, 03-21-2024, 07:32 AM
0 responses
67 views
0 likes
Last Post seqadmin  
Working...
X