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groups in the field Criteria of the candidate: To be considered for this role, you will ideally have: PhD in organic chemistry, polymer chemistry, colloids science or related field. Relevant experience and
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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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-element analytical techniques (PIXE, XRF, ICP-MS). Valorization of Industrial Waste: Experience in developing processes for treating and valorizing radioactive industrial waste. Cross-Functional Skills
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, or related fields, demonstrated by publications and/or fieldwork. Experience with qualitative research methods (e.g., ethnography, archival research, spatial analysis). Strong interest in interdisciplinary and
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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modeling software (Datamine software, Leapfrog, Geovia, or equivalent). Experience with mine waste valorization and pilot process design is a strong asset. Proven publication record and project involvement
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., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer
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. Qualifications: Ph.D. in Materials Science, Inorganic Chemistry, or a related field. Experience in the development of microporous materials. Strong expertise in material characterization techniques (e.g., FTIR
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research programs revolving around crop improvement. The position is part of the PHENO-MA platform team. Priority will be given to the candidates having research experience particularly in international
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scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas