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German and other languages. The research and student community in the building is international and polyglot. Mode of study Fully on-site with voluntary online elements Programme duration 6 semesters
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with lab work and designing experimental setups. Proficiency in data plotting, along with experience in programming languages such as Python or MATLAB and familiarity with CAD software is considered
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personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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literacy and basic programming skills (R, Python), or the willingness to develop these skills Analytical mindset, with a keen interest in advancing proteomic methodologies We offer Cutting-edge proteomic
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English. Candidates may write their dissertation either in English or German. Programme duration 9 semesters or more Beginning Winter and summer semester Additional information on beginning, duration and
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training program in and beyond the fields mentioned above. REQUIREMENTS: An ambitious Ph.D. student with strong interest in working in our multidisciplinary team A state examination degree in pharmacy or
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with hosts in other countries. Programme information for postdocs (PDF, 132 KB) Programme information for experienced researchers (PDF, 138 KB) Search for potential hosts in the Humboldt Network (German
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responsibilities include courses in the university’s bachelor and master programs, explicitly in the newly established Design master program. Qualifications We are looking for candidates who have demonstrated
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted