Water requirements of freshwater ecosystems
Interactive online course
27-28 September 2023 (two morning sessions)
Was from £249 now from £199! Save £50!
Master the art of preserving our precious freshwater ecosystems!
Join us for an immersive experience guided by Professor Mike Acreman, a distinguished fellow at UKCEH. Gain the knowledge, tools, and hands-on skills necessary to expertly assess the water requirements of our vital freshwater ecosystems.
- Uncover hidden insights: Delve into the intricate workings of our freshwater ecosystems and understand their critical role in managing water resources and preventing floods.
- Explore the depths: Investigate the nuances that impact the health of our cherished waterways.
- Propel your career: Elevate your expertise and stand out in the field of environmental conservation and management.
Don’t miss out on this exclusive opportunity!
Learn more about the course: Course details
Secure your spot now: Sign up here!
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Interactive online course
11 & 12 October 2023
Was from £599. Now from £449. Save £150!
Unlock your aerial imaging potential!
Join our interactive online course designed to empower you with the essential skills required for handling images captured from UAV platforms. Learn how to seamlessly process these images into a meticulously crafted scene, ideal for advanced image processing, and create precise classified images.
Don’t miss this opportunity to enhance your expertise and take your aerial imaging capabilities to new heights!
Learn more about the course: Course details
Ready to get started? Sign up today and soar above the rest: Sign up here!
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Bayesian methods for ecological and environmental modelling
Edinburgh 22-26 January 2024
Wallingford (nr. Oxford) 18-22 March 2024
Free for NERC-funded PhD and professionals
Accommodation included and travel costs will be reimbursed.
UKCEH is fully committed to Diversity, Equity and Inclusion. Please find more detail in the UKCEH Equality, Diversity & Inclusion Policy. We are inviting applications from a wide range of candidates.
This interactive course will be a mixture of presentations and practical exercises. It will give you a solid grounding in Bayesian methods that you can use with any kind of model and data set to compare models, estimate parameters, analyse uncertainties and communicate results.
More information: Course details and application form.
Please make sure you understand the application scoring criteria, before applying.
Application deadline 31 October 2023. Successful candidates will be informed in early November.
