Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Wrocław University of Science and Technology
- Center for Theoretical Physics PAS
- Institute of Environmental Engineering
- Institute of Plant Genetics PAS
- Jagiellonian University
- Kozminski University
- Warsaw University of Technology - Centre for Credible AI
-
Field
-
-derived spectral signatures. Analytical workflows will be implemented in Python, R, Matlab and QGIS. Classification outputs will be integrated with ecological and spatial data to evaluate biogeographical
-
optical setups will be an additional advantage Practical programming skills (Python, LabVIEW) English language proficiency at a minimum B2 level Research enthusiasm, patience, and strong motivation
-
programming skills (Python, LabVIEW) English language proficiency at a minimum B2 level Research enthusiasm, patience, and strong motivation for experimental work Time availability – full-time work
-
expect the Candidates to have: Strong motivation, Ability and enthusiasm to work in an interdisciplinary team, Good written and oral communication skills in English, Programming skills (e.g., Python, Julia
-
). Specific Requirements Preferably, candidates have experience in seed biology and/or plant molecular biology, as well as Python coding. LanguagesENGLISHLevelExcellent Additional Information Benefits
-
Requirements working in a Linux environment, basic Bash, scripting in Python (awk, R or other); being familiar with protein sequence and structure analyses (eg. structure prediction and docking); knowledge
-
at the Doctoral School (i.e., 1st March 2026). Specific Requirements working in a Linux environment, basic Bash, scripting in Python (awk, R or other); being familiar with protein sequence and
-
for analysis of the LiDAR data); basic knowledge of R or Python programming language and ability to use it in statistical analysis and processing remotely sensed data is also expected. Ability to work in a team
-
Python, PyTorch or TensorFlow) and practical experience with generative models (e.g. LLM, diffusion models, GAN); Ability to conduct independent research and work in a team, including a willingness to
-
for graphs; 4. Practical experience in the analysis of scientific data; 5. Proficiency in programming with Python; 6. Familiarity with the drug discovery process; 7. Ability to work on interdisciplinary