Sort by
Refine Your Search
-
Category
-
Employer
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Wrocław University of Science and Technology
- Poznan University of Physical Education, POLAND
- The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences
- Łukasiewicz Research Network - Krakow Institute of Technology
- Adam Mickiewicz University
- Institute of Geological Sciences, Polish Academy of Sciences
- Institute of Human Genetics of the Polish Academy of Sciences
- Institute of Plant Genetics PAS
- International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences
- MARIA CURIE-SKLODOWSKA UNIVERSITY IN LUBLIN
- Medical University of Silesia
- Mossakowski Medical Research Institute, Polish Academy of Sciences
- Nicolaus Copernicus University
- Poznan University of Medical Sciences
- Silesian University of Technology
- University of Warsaw
- University of Warsaw, Faculty of Chemistry
- Warsaw University of Technology/Centre for Advanced Materials and Technologies, CEZAMAT
- 9 more »
- « less
-
Field
-
Infrastructure? No Offer Description The goal of this project is to elucidate the influence of phospholipid bilayers and their models on interactions of biological peptides and related molecules with copper ions
-
scientific and technical knowledge as evidenced by publications (if applicable) or successful projects in line with the job description.- Familiar with the latest in AI trends and models for development and
-
translational model based on patient-derived tumour organoids that reproduce the realistic microanatomy of the tumour. These organoids will be used for translational testing of nanotherapeutic activity
-
for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
-
for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
-
for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
-
learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
-
an ecosystem. Our preliminary data suggests that this may be the case. If this hypothesis will be confirmed, it would mean that several independent baselines should be included in the isotope flux models, even
-
, genotyping, phenotyping, QTL mapping, gene expression, regulation of flowering induction, vernalisation, photoperiod, lupin. Research topic: The project aims to uncover pathways controlling flowering induction
-
. • Knowledge of Optical Coherence Tomography or Quantum Optical Coherence Tomography preferred but not mandatory. • Very good command of spoken and written English. Tasks: Development and