11 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Institute of Physical Chemistry, Polish Academy of Sciences in Poland
Sort by
Refine Your Search
-
Listed
-
Category
-
Governing Competitions for Research Posts at IChF in Warsaw (https://ichf.edu.pl/files/intranet/o%C5%9Bwiadczenie_statement.docx ). The commission evaluates applications on a point scale (max 100 points
-
of the Act on Higher Education and Science of 20 July 2018) According to Regulations for Awarding NCN Scholarships For NCN-Funded Research Projects: https://www.ncn.gov.pl/sites/default/files/pliki/uchwaly
-
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
-
the provisions of the competition documentation of the National Science Center (NSC) for the OPUS 24, https://www.ncn.gov.pl/ogloszenia/konkursy/opus24 and Employment policy of the Institute of Physical Chemistry
-
the Institute of Physical Chemistry PAS within National Science Center (NSC) https://www.ncn.gov.pl/sites/default/files/pliki/uchwaly-rady/2024/uchw… - zal2_ang.pdf Leader Dr hab. Jan Paczesny This project
-
/Qualifications Possessing a Master's degree in Chemistry or a related discipline. Good knowledge of English, both verbal and written. Knowledge of chemical synthetic techniques and willingness to learn and perform
-
and interdisciplinary research environment. Details about the project: https://projekty.ncn.gov.pl/opisy/590787-en.pdf About the group: The Computational Genomics Group at IPC PAS is led by dr Marcin
-
/Qualifications Possessing a Master's degree in Chemistry or a related discipline. Good knowledge of English, both verbal and written. Knowledge of chemical synthetic techniques and willingness to learn and perform
-
activity (TON, TOF) and selectivity will be used to develop predictive machine-learning models that enable accurate in silico identification of optimal catalyst–substrate–conditions combinations and the
-
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