Publisher
source

University of Graz

Postdoctoral Openings in Sustainable Catalysis, Bioactive Heterocycles, and Automated Chemistry & Machine Learning University of Graz in Austria

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Austria

University

University of Graz

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Keywords

Computer Science
Chemistry
Chemical Engineering
Python Programming
Chemical Synthesis
Hplc
Nmr Spectroscopy
Natural Product Synthesis
Post Doc
Machine learning

About this position

Universität Graz is advertising 2 postdoctoral openings in Austria at the Unit of Sustainable Catalysis.

Postdoc 1: Sustainable Routes to Bioactive Heterocycles from Wood.
This role is aimed at candidates with a PhD in Chemistry, especially synthetic organic chemistry. Strong experience in natural product synthesis, catalysis, and analytical techniques such as HPLC, GC-MS, and NMR is requested.

Postdoc 2: Automated Chemistry & Machine Learning.
This role requires a PhD in Chemistry or Chemical Engineering. The post emphasizes AI-driven chemistry, high-throughput experimentation, and programming skills in Python or R.

The post is shared by RCTT (Research. Consulting. Training. Transformation), but the opportunity itself is at the University of Graz. Funding details are not specified in the post. No deadline is mentioned in the content provided.

Application routes: Postdoc 1 applications should be sent to [email protected]; Postdoc 2 should be submitted via the University of Graz jobs portal.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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