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- Institute of Biochemistry and Biophysics Polish Academy of Sciences
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- Poznan University of Physical Education, POLAND
- Łukasiewicz Research Network - Krakow Institute of Technology
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- Adam Mickiewicz University, Poznań
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- Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS)
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for reading technical literature and writing scientific papers. Motivation to work in a multidisciplinary research team and collaborate on planned research tasks. Strong knowledge of modern AI tools and
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for reading technical literature and writing scientific papers. Motivation to work in a multidisciplinary research team and collaborate on planned research tasks. Strong knowledge of modern AI tools and
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for identification and structure confirmation of organic compounds (mass spectrometry, nuclear magnetic resonance, crystallography) c. knowledge of chemical databases and programmes used in organic chemistry (Reaxys
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. This knowledge is required to better understand the processes involving copper signaling in health and disease. Biological compartments, relevant to copper signaling, including synapses, have very high surface
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sciencesEducation LevelPhD or equivalent Skills/Qualifications - Confirmed status of a PhD student (on the date of starting work in the project at the latest). - Knowledge of molecular biology techniques, including
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isotopic baselines within one ecosystem. Isotopic baselines are necessary for stable isotope-based paleodietary modeling. In particular, the knowledge of the baseline variability is crucial at the planning
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
• master’s degree in biology, biotechnology, or a related field • knowledge of molecular biology and genetics • familiarity with basic molecular biology techniques and methods for working with RNA
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; • have basic knowledge of chemistry, physical chemistry, nanotechnology, bionanotechnology or materials engineering; • have experience in the synthesis, modification or functionalisation of nanomaterials
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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
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. • 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