Institute of Physical Chemistry Polish Academy of Sciences

Post-doc

Post-doctoral position

접수중2026.01.23~2026.02.20

채용 정보

  • 접수 기간

    2026.01.23 00:00~2026.02.20 12:00

  • 접수 방법

    이메일지원더보기

  • 채용 구분

    경력 무관

  • 고용 형태

    계약직

  • 지원 자격

    박사

  • 모집 전공

    생명과학, 생물학, 동물・수의학, 화학, 축산학, 작물・원예학, 식품가공학, 농업학, 수산학, 산림・원예학, 농림수산환경생태학, 농림수산바이오시스템공학, 생명공학, 화학공학, 한약학, 약학, 공학계열, 물리・과학더보기

  • 기관 유형

    연구기관

  • 근무 지역

    해외(폴란드)더보기

  • 연봉 정보

Post-doc position available in the Institute of Physical Chemistry PAS within National Science Center (NSC) OPUS 28, Project no. 2024/55/B/NZ6/02211, entitled “Ultra-high-throughput multimodal single-microbe profiling to study microbiomes.”
Leader Dr Marcin Tabaka.



We seek a highly motivated and enthusiastic Postdoctoral Researcher to join our group at ICTER IPC PAS The position inlclude work upon project entitled “Ultra-high-throughput multimodal single-
microbe profiling to study microbiomes”, financed by the NCN (National Science Centre). Our research focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods for analyzing the heterogeneity of microbiota and inferring activities of biological pathways. The Institute provides an international and interdisciplinary research environment.



Details about the project:
https://www.ncn.gov.pl/sites/default/files/listy-rankingowe/2024-09-16-titokb02cwd/streszczenia/637514-pl.pdf



About the group: The Computational Genomics Group at IPC PAS is led by dr Marcin Tabaka and leverages experimental and computational approaches in high-throughput single-cell transcriptome
and genome profiling to address fundamental questions in biomedical research: https://tabaka-lab.org

Skills/Qualifications

  • • Building a deep learning method for predicting activities of biological pathways from multimodal single-cell datasets;
  • • Designing and executing data analysis strategies for single-cell datasets;
  • • Data management and maintenance of computational infrastructure;
  • • Preparing and writing scientific papers for leading journals;
  • • Interpreting results from single-cell experiments.

Specific Requirements

  • • Ph.D. degree in Math, Statistics, Physics, Computer Science or related quantitative discipline;
  • • Strong Background in statistics and deep learning;
  • • Excellent programming skills in python;
  • • Familiarity with Unix command-line tools;
  • • Excellent communication and organizational skills;
  • • Ability to work independently and interact effectively in an interdisciplinary team;
  • • Proficiency in English, both spoken and written.

A post-doc type post is a full-time post, scheduled by the project’s principal investigator for a person who has been conferred a PhD degree in the year of employment in the project or within 12 years before 1st January of the year of employment in the project (for researchers with multiple PhDs, the date of the first PhD award is deemed the reference date). This period may be extended by a time of long-term (in excess of 90 days) documented sick leaves or rehabilitation leaves granted on account of being unfit to work. In addition, the period may be extended by the number of months of a child care leave granted pursuant to the Labour Code and in the case of women, by 18 months for every child born or adopted, whichever manner of accounting for career breaks is preferable.

Additionally, the candidate for the postdoctoral position must meet the following condition:

  • a) has obtained a doctoral degree from an entity other than the entity where employment in this position is planned, or has completed at least a 10- month, continuous, and documented postdoctoral fellowship in an entity other than the entity carrying out the project and in a country other than the country where the doctoral degree was obtained;
  • b) will be employed for a period of no less than 6 months;
  • c) during the period of receiving this remuneration, will not receive any other remuneration from funds allocated as direct costs of research projects financed under NCN competitions;
  • d) during the period of receiving this remuneration, will not receive remuneration from another employer under an employment contract, including an employer based outside Poland;
  • e) during the period of receiving this remuneration, will not receive retirement benefits from the social security system.

근무 예정지

대표Institute of Physical Chemistry Polish Academy of Sciences(해외) : Marcina Kasprzaka 44/52, 01-224 Warszawa

해외(폴란드) : Poland, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, PL-01-224, Mazowieckie, Kasprzaka 44/52

기관 정보

Institute of Physical Chemistry Polish Academy of Sciences

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    연구기관

  • 대표전화

    +48 22 343 31 08

  • 대표주소

    Marcina Kasprzaka 44/52, 01-224 Warszawa

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Biological sciencesBiodiversityBiologyChemistryComputational chemistryTechnology
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