Dear all,
We have an open position for early-stage researcher with PhD option in Bioinformatics, Marie-Curie Fellowship; EU project with full support for 3y!
Field of research: NGS; smallRNAs; cancer.
We are looking for one enthusiastic PhD student to join our team at the University of Plovdiv, located in Plovdiv, BULGARIA. The research position is part of a Marie Skłodowska-Curie Innovative Training Network titled “ELBA: European Liquid Biopsies Academy - Towards widespread clinical application of blood-based diagnostic tools” (elba.uni-plovdiv.bg), (cordis.europa.eu/project/rcn/211894_en.html).
Liquid biopsies have been heralded as a game changer in cancer management, with blood tests offering a minimally invasive, safe, and sensitive alternative or complementary approach for tissue biopsies. Blood represents a rich source of information through which solid cancers (and their subtypes) can be detected, identified and classified, and matched to a specific therapy. For this reason, the implementation of liquid biopsy in the clinical process is our objective, to facilitate the access of this methodology to all our patients.
The Early-Stage Researcher (ESR) will be supported for 3 years of full-time appointment with possibility for PhD obtaining. The working group headed by Dr. Vesselin Baev combines state-of-the-art bioinformatics analysis tools with cutting-edge Next-generation sequencing technologies (NGS) to investigate regulatory transcriptomics with a focus on small RNAs.
More details at euraxess.ec.europa.eu/jobs/307888
Deadline - 10 August
REQUIRED LANGUAGES
ENGLISH: Excellent
Skills/Qualifications
We seek a highly motivated and enthusiastic bioinformatician or computer scientist with a significant interest in solving biologically motivated questions. Applicants should have a Master in Computer sciences or Bioinformatics (or in the final stages of completing Master degree in the above fields).
Specific Requirements
High programming skills of at least one of the following programming languages are mandatory: Python, Perl, Java, R, or C/C++. Experience in omics data analysis and machine learning is an advantage. A high level of spoken and written English is required, as are excellent analytical capabilities and communication skills, and the ability to work independently as well as part of a team.
You may apply by providing a letter of motivation describing your interest in joining our lab, a detailed CV, contact information of up to three references and a degree certificate in a single PDF file.
Send the file by email to:
to: Dr. Vesselin Baev - vebaev at plantgene.eu
cc: Dr. Galina Yahubyan - galina.yahubyan at gmail.com
Subject: ELBA application ESR 13