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2019
Professor Anders Nielsen, DTU Aqua
22 NOV

New professor in statistical modelling

Anders Nielsen has been appointed professor at DTU on statistical modelling of fish stocks and marine systems.

Fisheries and fish stocks Mathematical modelling Statistics
Ken H. Andersen. Photo: Mikal Schlosser.
18 OCT

New theory on fish ecology, evolution and exploitation

DTU researcher launches a new theory to model fish stocks and fish communities and applies it to current problems in fisheries science.

Fisheries and fish stocks Ecosystems Mathematical modelling
ROV - undervandsrobot
17 JUN

Underwater robot can count starfish and measure biomass

Specially developed smart sensors and underwater cameras can enable robots to handle monitoring tasks in the sea 

Food, fish and agriculture Robot technology and automation Mathematical modelling
2018
Grafik fra Christoffer Moesgaard Albertsens afhandling.
02 FEB

PhD defence about statistical models for fish stock assessment

“Counting the uncountable” is the fundamental challenge in fish stock assessment. To meet this challenge, Christoffer Moesgaard Albertsen has evaluated and developed...

Statistics Mathematical modelling Fisheries and fish stocks
2017
Photo: Mikal Schlosser
04 SEP

Fisheries physicist boils theory down to five words

This month Professor Ken H. Andersen will defend his doctoral dissertation written on the basis of 10 years’ research and which resulted in his development of new fishery...

Food, fish and agriculture Fisheries and fish stocks Mathematical modelling
2015
Henrik Gislason. Photo: Imagebureauet.dk
25 SEP

Understanding species richness

Professor Henrik Gislason delivers opening plenary lecture at ICES Annual Science Conference

Fisheries and fish stocks Mathematical modelling Marine research

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https://www.aqua.dtu.dk/english/News?approved=1034965b-5b5f-455f-ad88-c41d5eaee352&at=%7B559A7F23-40D3-470C-8825-436C20C291CF%7D.%7B3F2A7F37-83AF-4BD8-A085-0BC04DA3EA92%7D.%7B18E4440F-E64C-4CF1-BDD9-860D6747C02D%7D.%7B0DE95AE4-41AB-4D01-9EB0-67441B7C2450%7D.%7B11111111-1111-1111-1111-111111111111%7D.%7B6AA222C7-E0CB-4AC7-B8B7-6BC91628AEAB%7D&descending=True&fr=1&mr=10&qt=TaggedItemSearch&sorton=DisplayDate&td=22-01-2020
29 APRIL 2024