Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Jagiellonian University
- Military University of Technology - Wojskowa Akademia Techniczna
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- University of Lodz
- Wroclaw University of Science and Technology
- Wrocław University of Science and Technology
- Adam Mickiewicz University
- Gdańsk University of Technology
- Institute of Physical Chemistry, Polish Academy of Sciences
- Lodz University of Technology
- National Centre for Nuclear Research
- University of Silesia in Katowice
- Warsaw University of Technology - Centre for Credible AI
- AGH University of Krakow
- Adam Mickiewicz University, Poznań
- Center for Theoretical Physics PAS
- Institute of Geophysics Polish Academy of Sciences
- Institute of Mathematics of the Polish Academy of Sciences
- MARIA CURIE-SKLODOWSKA UNIVERSITY IN LUBLIN
- Poltreg
- University of Warsaw
- Warsaw University of Life Sciences - SGGW
- Warsaw University of Technology
- Wydział Matematyki Fizyki i Informatyki UG
- Wyższa Szkoła Informatyki i Zarządzania/Univeristy of Information Technology and Management
- 15 more »
- « less
-
Field
-
, • computer literacy (MS Word, MS PowerPoint, MS Outlook, MS Excel), • experience in LDL and/or knowledge of MS Teams, Zoom, Clickmeeting, etc, • substantiated own teaching materials customized for teaching ESP
-
fluent in writing; • Computer literacy (Office/spreadsheets); • Availability; • Strong willingness to learn; • Openness; • Ability to work in a team. Where to apply E-mail kariera@poltreg.com Requirements
-
, experience in conducting research in the area of Artificial Intelligence and machine learning, recent scientific achievements in the discipline of computer science indexed in Scopus or Web of Science
-
spectroscopy (e.g. CD, FTIR, NIR), fluorescence techniques (e.g. fluorescence anisotropy, time-resolved fluorescence, fluorescence lifetime imaging), HPLC chromatography and the application of machine learning
-
methods and potential application of machine learning techniques. Good command of English (B2/C1). The candidate will be responsible for carrying out tasks related to the analysis of experimental data
-
of discrete processes and machine learning, publishing research results and participation in scientific conferences, conducting didactic classes and preparing didactic materials in selected subjects in
-
, lasers, photochemistry; - An aptitude for experimental research work; - The ability to learn and assimilate knowledge quickly; ability to work in a team; - Proficiency in written and spoken English
-
in organic synthesis or nanomaterials synthesis, techniques of materials characterization (MS, UV-Vis, CD, FTIR, NMR) - An aptitude for experimental research work; - The ability to learn and assimilate
-
implementation of research projects financed from national and international sources (e.g. NCN, Horizon Europe, ESA). Specific Requirements Research experience in computer science, artificial intelligence, machine
-
teamwork skills and documented experience in collaborative research environments. Have proven experience with Artificial Intelligence methods, computational modeling, statistics, and machine learning applied