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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/listyrankingowe/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 highthroughput single-cell transcriptome and genome profiling to address fundamental questions in biomedical research (https://tabaka-lab.org/).

• 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

We offer a post-doctoral position (full-time employment) in the Institute of Physical Chemistry PAS with a gross salary of Around 11000 PLN gross per month financed from the NCN OPUS 28, Project no. 2024/55/B/NZ6/02211, entitled “Ultra-highthroughput multimodal single-microbe profiling to study microbiomes.”

100% of the work time of Postdoc will be devoted to the realization of the proposed project. The offer is for 6 months with a possible extension

The job is the exciting project links to bioinformatics and single-cell transcriptomics and genomics , carried out in a forward-thinking and friendly environment. The Institute is one of the best scientific units in Poland, according to the Ministry of Science and Higher Education, which guarantees the high quality of the research. The successful candidate will have the opportunity to work with enthusiastic scientists open to joint projects, as well as participation in seminars and international conferences. The successful candidate will be eligible for all programs at the IPC PAS, including the IPC PAS Young Scientists competition and the IPC PAS Young Scientists Mobility competition. Institute provides an opportunity to participate in ERASMUS+ programme.

• Ph.D. degree in Math, Statistics, Physics, Computer Science or related quantitative discipline obtained in the year of employment in the project or within 12 years before 1 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. Extension might apply according to National Science Centre, Poland, rules.

• Additionally, the candidate for the postdoctoral position must meet the following condition: their PhD degree has been awarded by another institution than the one planned to employ them at this post or they have completed a continuous and evidenced post-doctoral fellowship of at least 10 months in another institution than the host institution for the project and in another country than the one in which they have been conferred a PhD degree;

• 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.

The Commission will take into account the following criteria and evaluate applications on a point scale:

· Competence for specific tasks in a research project;

· Previous scientific achievements (publication record);

· Candidate’s own initiative in research projects.