Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Gdańsk University of Technology
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- University of Warsaw
- National Centre for Nuclear Research
- University of Warsaw: Faculty of Mathematics, Informatics and Mechanics
- Wroclaw Univesity of Science and Technology
- AGH University of Krakow
- Institute of Physical Chemistry, Polish Academy of Sciences
- Kazimierz Wielki University in Bydgoszcz
- Maj Institute of Pharmacology Polish Academy of Sciences
- Military University of Technology - Wojskowa Akademia Techniczna
- The International Institute of Molecular Mechanisms
- The Tadeusz Manteuffel Institute History of the Polish Academy of Sciences
- Wrocław University of Science and Technology
- 4 more »
- « less
-
Field
-
, electronic structure methods development, algorithm development, or finite-temperature field theories. Exposure to topics such as dynamical mean field theory, embedding theories, quantum Monte Carlo methods
-
preparing libraries for next-generation sequencing (NGS) as well as nanopore sequencing, along with the ability to analyze sequencing data using bioinformatics algorithms. Proficiency in developing algorithms
-
University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 1 month ago
a competition for the position of postdoctoral position (assistant professor) in the NCN Sonata-18 project entitled: Parallel and exact algorithms for path problems in directed graphs. About the
-
dimensionality reduction * development of optimization algorithms and numerical modeling procedures * development of simulation models using commercial packages (CST, ADS, HFSS, etc.) * writing technical reports
-
annotating experimental findings from the literature— with advanced machine learning approaches to extend functional annotation of LCRs. • Apply clustering algorithms to group LCRs by similar annotation
-
surrogate models. The method employs modern posterior sampling algorithms, using measurement data. The developed tools will enable faster and more accurate reconstruction of past and future emergency events
-
identifying the parameters of PDEs, while on the other, newly emerging gradient flow methods hold significant potential for the development of sampling algorithms. The research goals are structured
-
in data processing, designing or developing computational algorithms for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory
-
possess knowledge and skills in computer science, particularly in the areas of algorithms and data structures, databases, distributed databases, data warehousing and analytical processing, knowledge
-
. Project Description: The primary goal of the Project is to develop innovative software enabling generation of chemical compounds which are optimized in terms of physicochemical properties, ADMET, and