Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 17 days ago

Re-advertisement: Decipher Complex Phenotypes via Cross-species Analysis of the Regulatory Genome

Technical Sciences - Center for Kvantitativ Geneti

Where
Aarhus C, Denmark
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowRe-advertisement: Decipher Complex Phenotypes via Cross-species Analysis of the Regulatory GenomeTechnical Sciences - Center for Kvantitativ Geneti · Aarhus C, Denmark

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Technical Sciences - Center for Kvantitativ Geneti's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 17 days ago

The posting

Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is available from 01 January 2027 or later. You can submit your application via the link under 'how to apply'.

Title Re-advertisement: Decipher Complex Phenotypes via Cross-species Analysis of the Regulatory Genome

Research area and project description A fundamental challenge in modern genetics is decoding how non-coding genetic variation regulates gene expression to shape complex phenotypes. Despite the wealth of GWAS data, the lack of functional insights remains a significant barrier to the advancement of genomic selection in precision agriculture and the implementation of personalized medicine in humans.

Objectives This PhD project seeks to revolutionize our understanding of regulatory logic by:

1. Developing Novel AI Frameworks: Building state-of-the-art computational models to identify functional genetic variants that govern gene regulation across diverse species, including farmed animals and humans.

2. Cross-Species Comparative Analysis: Investigating the evolutionary conservation and divergence of gene regulatory patterns between farmed animals and humans.

3. Mapping the Genetic Landscape: Elucidating how these regulatory mechanisms orchestrate the architecture of complex traits to improve predictive accuracy in both clinical and agricultural settings.

Research Environment The successful candidate will join a high-impact international research group with a track record of publishing in premier journals such as Nature Genetics and Cell Genomics. You will leverage large-scale multi-omics datasets to bridge the gap between DNA sequence and function.

Below are several relevant publications:

https://www.nature.com/articles/s41588-025-02121-5 https://www.nature.com/articles/s41588-023-01585-7 https://www.nature.com/articles/s41588-025-02155-9; https://www.nature.com/articles/s41588-025-02329-5 https://www.nature.com/articles/s41588-025-02329-5 https://www.cell.com/cell-genomics/fulltext/S2666-979X(23)00187-8

Project description: For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application.

Qualifications and specific competences: The successful candidate must hold a master’s degree in Statistical Genetics, Bioinformatics, Computational Biology, Computer Science, Mathematics, or a closely related quantitative field.

Technical & Professional Competencies:

  • Computational Proficiency: Advanced programming skills in Python or R are essential for developing and implementing genomic algorithms.
  • Analytical Expertise: Prior experience with machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow) is highly desirable, particularly in the context of sequence-to-function modeling.
  • Scientific Drive: A strong intellectual interest in human/animal genetics or comparative genomics, with a desire to decode the regulatory logic of complex traits.
  • Communication Excellence: Proficiency in written and spoken English is required, as the role involves drafting high-impact manuscripts and collaborating across international research consortia.

Place of employment and place of work: The place of employment is Aarhus University, and the place of work is C. F. Møllers Allé 3, bld. 1130, 8000, Aarhus, Denmark.

Contacts: Applicants seeking further information regarding the PhD position are invited to contact:

For information about application requirements and mandatory attachments, please see our application guide. If answers cannot be found there, please contact:

How to apply: Please follow this link to submit your application.

Application deadline is 25 October 2026 at 23:59 CEST.

Preferred starting date is 01 January 2027.

Please note:

  • Only documents received prior to the application deadline will be evaluated. Thus, documents sent after deadline will not be considered.
  • The programme committee may request further information or invite the applicant to attend an interview.
  • Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which everyone has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.

Posting text belongs to the employer. Removal requests: contact us.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Technical Sciences - Center for Kvantitativ Geneti's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Technical Sciences - Center for Kvantitativ Geneti's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Technical Sciences - Center for Kvantitativ Geneti's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.