Nhu Loc Thuy Tran - PhD Researcher in Quantitative Genetics

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Cologne, Germany

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Experience

Oct 2022 - Jan 2026

3 years 4 months

Germany

Ph.D. Researcher in Quantitative Genetics & Computational Biology

University of Cologne (CEPLAS – Cluster of Excellence in Plant Sciences)

Generated and analysed large-scale RNA-seq data (>800 samples) using R, Python, and high-performance computing (HPC/Linux) systems.
Integrated multi-omics data (genomic, transcriptomic, and phenotypic); applied Bayesian approaches and machine learning to study gene expression variation and inheritance of complex traits.
Mentored B.Sc. and M.Sc. students in experimental design, programming in R/Python/Bash, biostatistics, data visualisation and scientific presentations.

Oct 2021 - Dec 2022

1 year 3 months

Germany

M.Sc. in Biology (Fast-Track Ph.D. Programme, CEPLAS)

Heinrich-Heine-University Düsseldorf

Conducted genome-wide association and genotype–environment analyses.
Developed variant-calling workflows for 400 whole-genome samples.
Thesis: Natural variation in seed secondary dormancy in Arabidopsis thaliana (Final grade: 1.0 – Very Good) - later published in Molecular Ecology (2025).

Sep 2017 - Jul 2021

3 years 11 months

Netherlands

B.Sc. in Life Sciences (Major: Molecular Plant Biology)

HAN University of Applied Sciences

Research placements during the studies (ERASMUS-funded):
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Germany
German Centre for Integrative Biodiversity Research (iDiv), Germany
Glasgow Caledonian University, Scotland – Minor in Food Sciences.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Agriculture, Biotechnology, Education, and Food and Beverage.

Agriculture

Biotechnology

Education

Food and Beverage

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Research and Development.

Research and Development

Skills

Advanced User Of R (6+ Yrs), Python (4+ Yrs), Bash (3+ Yrs), Git (3+ Yrs).
Experienced In Rna-Seq And Wgs & Multi-Omics Data Integration.
Experienced In Developing Bioinformatics Pipeline; Workflow Automation (Slurm Hpc/Snakemake), Version Control (Git/Github).
Strong Background In Statistics, Bayesian Inference, And Machine Learning For Biological Data.
Data Visualisation, Qc, And Reproducible Reporting (Rmarkdown, Quarto).

Languages

Vietnamese

Native

German

Advanced

English

Advanced

Education

Oct 2022 - Jan 2026

University of Cologne (CEPLAS – Cluster of Excellence in Plant Sciences)

Ph.D. Researcher · Quantitative Genetics & Computational Biology · Cologne, Germany

Oct 2021 - Dec 2022

Heinrich-Heine-University Düsseldorf

M.Sc. in Biology, Fast-Track Ph.D. Programme, CEPLAS · Biology · Düsseldorf, Germany · 1.0 – Very Good

Sep 2017 - Jul 2021

HAN University of Applied Sciences

B.Sc. in Life Sciences, Major: Molecular Plant Biology · Life Sciences · Netherlands

Statistics

Experience

Total positions 3

Experience in Agriculture 7 y

Avg length 2 y 9 m

Longest experience 3 y 10 m

Global Experience

Countries worked in 2 (Germany, Netherlands)

Primary country Germany

Expertise

Recent roles Ph.D. Researcher in Quantitative Genetics & Computational Biology, M.Sc. in Biology (Fast-Track Ph.D. Programme, CEPLAS), B.Sc. in Life Sciences (Major: Molecular Plant Biology)

Main industries Agriculture, Biotechnology, Education

Main business areas Research and Development

Qualifications

Highest degree Doctorate

Profile

Created

November 2025

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Frequently asked questions

Have questions? Find more information here.

Nhu Loc Thuy is based in Cologne, Germany and can operate in on-site, hybrid, and remote work models.

Nhu Loc Thuy speaks the following languages: Vietnamese (Native), German (Advanced), English (Advanced).

Nhu Loc Thuy has at least 8 years of experience. During this time, Nhu Loc Thuy has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 3 years and 8 months. Note that Nhu Loc Thuy may not have shared all experience and actually has more experience.

Based on recent experience, Nhu Loc Thuy would be well-suited for roles such as: Ph.D. Researcher in Quantitative Genetics & Computational Biology, M.Sc. in Biology (Fast-Track Ph.D. Programme, CEPLAS), B.Sc. in Life Sciences (Major: Molecular Plant Biology).

Nhu Loc Thuy's most recent position is Ph.D. Researcher in Quantitative Genetics & Computational Biology at University of Cologne (CEPLAS – Cluster of Excellence in Plant Sciences).

In recent years, Nhu Loc Thuy has worked for University of Cologne (CEPLAS – Cluster of Excellence in Plant Sciences) and Heinrich-Heine-University Düsseldorf.

Nhu Loc Thuy is most experienced in industries like Agriculture, Biotechnology, and Education. Nhu Loc Thuy also has some experience in Food and Beverage.

Nhu Loc Thuy is most experienced in business areas like Research and Development.

Nhu Loc Thuy has recently worked in industries like Education, Agriculture, and Biotechnology.

Nhu Loc Thuy has recently worked in business areas like Research and Development.

Nhu Loc Thuy holds a Doctorate in Quantitative Genetics & Computational Biology from University of Cologne (CEPLAS – Cluster of Excellence in Plant Sciences), a Master in Biology from Heinrich-Heine-University Düsseldorf and a Bachelor in Life Sciences from HAN University of Applied Sciences.

Nhu Loc Thuy is immediately available part-time for suitable projects.

Daily Rate Distribution

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<€480 €480-640 €640-800 €800-960 €960+

The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.

Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Average rates for similar positions

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Daily rate avg. 745 €

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1000

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Median rate 800 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.