Thorsten Stoeck

ecology group rheinland‐pfälzische technische universität kaiserslautern‐landau kaiserslautern germany

Germany

Research Interests

Explore related searches

Professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (2)

Verena Rubel

Technische Universität Kaiserslautern

GERMANY

View details

Thomas Wilding

PI, benthic ecology and statistical modelling

Scottish Association For Marine Science

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Thorsten Stoeck

Research Interests

Explore related searches

Contact this professor

Articles (10)

Comparing the precision of two digital PCR applications for copy number comparisons in protists

Nanopore duplex sequencing as an alternative to Illumina MiSeq sequencing for eDNA-based biomonitoring of coastal aquaculture impacts

Mesoscale cyclonic eddies born in an eastern boundary upwelling system enhance microbial eukaryote diversity in oligotrophic offshore waters

Towards a Standardized Operating Procedure for eDNA‐Based Biomonitoring in Coastal Marine Salmon Aquaculture

Comparative identification of phytoplankton taxonomic and functional group approach in karst lakes using classical microscopy and eDNA metabarcoding for ecological status assessment

Simultaneous analysis of seven 16S rRNA hypervariable gene regions increases efficiency in marine bacterial diversity detection

Supervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes

Biogeographic structuring of benthic microbial communities influence the establishment of global bioindicators for coastal aquaculture impact monitoring

Predicting classifications in marine biomonitoring with supervised machine learning: how much data is required?

Ciliates as bioindicators of environmental pressure in a karstic river

Collaborators (2)

Verena Rubel

Thomas Wilding

Make your next move.