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Processes Multi-Location Trial Evaluations Further Value Chain Assessment and Development Qualifications PhD in Biological Sciences or Molecular Biology/ Biochemicals Skills: Able to code in R Perform
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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is preferred. Industry experience can be an advantage, if relevant to the project. High proficiency in coding (e.g., Python, R, MATLAB, JavaScript), data management, and scientific data analysis, as
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• Proficiency in R, python or other coding languages for data analyses • Tree species identification skills would be highly advantageous • Proficiency in QGIS, CloudCompare, DJI Terra and other remote
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in a team environment Responsibilities: Planning, preparation, and implementation of data collection Data cleaning and coding Synthesising of information from research findings Preparation
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in a team environment Responsibilities: Planning, preparation, and implementation of data collection Data cleaning and coding Synthesising of information from research findings Preparation
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) • Planning, preparation, and implementation of data collection • Data cleaning and coding • Synthesising of information from research findings • Preparation of presentation
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-POSITIVE), we will code and analyse children and parents’ behaviours when presented with a challenging task after an easy task. Objective 3 (Study 3): Investigate how early achievement-related experiences
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harmonisation, and model generalisability. • Maintain documentation, computational workflows, and reproducible code repositories. Project Management & Collaboration • Work collaboratively with clinicians, data
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research artifacts. Support the preparation of research publications, codes, and grant-related deliverables. Participate in regular team meetings and contribute to the problem-solving, design, and