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environmental modelling, including data science methods such as AI and machine learning Proficiency in GIS and R programming or similar Effective communication skills and experience working with authorities
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programming (e.g. in python) are an advantage. Excellent oral and written English language skills. Strong collaborative skills, team spirit, yet the ability to work independently. Qualification requirements
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degree and sufficient work experience would also be considered. Proficiency in Python for data analysis. Experience interfacing databases and R scripting will be an advantage but not required. Familiarity
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. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written
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and Python); Ability to work productively both independently and as part of an interdisciplinary team. An interest and willingness for learning new methods and technologies in a fast moving and highly
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skills relevant to modelling, simulation, and data analysis (e.g. MATLAB, Python) Essential requirements: Excellent written and oral communication skills in English Strong interpersonal and collaboration
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or optimization. Proven experience with programming and data analysis tools. Fluency in Python, including experience writing data analysis scripts and model training code. Experience with scientific computing and
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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learning applied to operations and supply chain management Data-driven demand forecasting Inventory management Time-series modelling Required skills Fluency in either Python, R, or the like Should be able