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publication record. Well-developed analytical and problem-solving skills are a requirement. We are looking for a strongly motivated person, who is able to work independently. Good command of English orally and
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deadline*. A strong background in particle and astroparticle physics, with a focus on dark matter and neutrinos. Strong analytical skills in quantum field theory. Master-level knowledge in solid state
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, microbiology, biotechnology, ecology, bioinformatics, or related disciplines. Experience with DNA-based analytical methods (e.g., qPCR, sequencing, metabarcoding, or eDNA) is required. Previous work with
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electron microscopy, or atom probe tomography (APT)) You will need strong written and verbal communication skills in English Strong analytical skills and the ability to work both independently and in
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processes and the use of economic theory and quantitative methods as key analytical tools. Major research areas include economic growth and structural change, innovation, energy and sustainability
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and astroparticle physics, with a focus on dark matter and neutrinos. Strong analytical skills in quantum field theory. Master-level knowledge in solid state physics (appreciated). A genuine curiosity
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probe tomography (APT)) You will need strong written and verbal communication skills in English Strong analytical skills and the ability to work both independently and in collaboration. You are expected
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engineering, mechatronics etc. The PhD degree must be awarded no more than three years prior to the application deadline. Required skillset Analytical understanding of Reinforcement Learning, Dynamics and
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. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: Experience in analytical methods based on liquid chromatography Good knowledge of fundamental
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: Strong analytical and problem-solving skills, A solid academic record, and Excellent command of English, both spoken and written. It is desirable that applicants have expertise in one or more of the