Forestry Jobs in Western Cape
1 - 7 of 7
Search Results - Forestry Jobs in Western Cape
wePlace-Cape Town-
risk modelsPropensity and behavioural modelsFinancial crime models (fraud and AML)Applying advanced ML techniques, including:Supervised learning (Random Forest, XGBoost, CatBoost, Neural Networks)Unsupervised learning (clustering, isolation forests...
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Placements24-Cape Town-
and yield optimization. This position is integral to the Agriculture & Forestry sector, focusing on a high-value agricultural product. The ideal candidate will possess a deep understanding of grape growing specific to the maritime climate and terroir...
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Placements24-Stellenbosch-
About the Role Our client, a renowned estate in the heart of the Western Cape 's wine region, is seeking a passionate and experienced Viticulturist to manage their premium vineyards. This role within the Agriculture & Forestry sector is crucial...
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Forestry jobs – More locations:
wePlace-Cape Town-
Credit risk models
• Propensity and behavioural models
• Financial crime models (fraud and AML)
• Applying advanced ML techniques, including:
• Supervised learning (Random Forest, XGBoost, CatBoost, Neural Networks)
• Unsupervised learning...
Read more
3L Consulting (Pty) Ltd-Cape Town-
Specifications (NRCS) audits.Experience with Department of Forestry, Fisheries and the Environment (DFFE) vessel permit applications.Experience using compliance management software such as SHEQX or similar systems.Knowledge of South African import and export...
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Placements24-Stellenbosch-
forests, Bayesian methods).
Proficiency in programming languages such as Python or R, and extensive experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Bioconductor).
Strong understanding of genomic data types, formats, and common...
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wePlace-Cape Town-
Credit risk models
• Propensity and behavioural models
• Financial crime models (fraud and AML)
• Applying advanced ML techniques, including:
• Supervised learning (Random Forest, XGBoost, CatBoost, Neural Networks)
• Unsupervised learning...
Read more
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