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Field
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science and machine learning Knowledge with Python or Matlab. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR
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. Knowledge of linear optimization techniques for analyzing energy systems. Proficiency in programming, ideally in Python or similar languages, with a focus on open-source modeling and handling large datasets
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statistical programming languages, such as R or Python; (ideally) has gained some experience in writing scientific publications. Our offer A position for one year, with an extension to a total of four years
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English (C1 level) and has excellent communication skills; is well-versed in statistical programming languages, such as R or Python; (ideally) has gained some experience in writing scientific publications
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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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optimization • Experience of multidisciplinary work and collaboration between academia and external partners. • Good programming skills in Python (Pytorch) etc. • Additional knowledge on waste and Near-infrared
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use other programmes, such as Python, Stata, or SAS. Application deadline Please check the HDS PhD website in autumn 2025 for updated information on 2026 HDS PhD programme admissions. The application
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(e.g. Unix environment, Python programming or other programming languages) will be given priority. Language requirements The IMPRS-ESM offers an English PhD programme. Applicants must possess a high
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Python. Strong interest in combining computational and experimental chemistry. Excellent knowledge of written and spoken English. Excellent communication skills, especially for collaborating with others
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the programming language Python. Experience in computational chemistry. Basic knowledge about homogeneous catalysis. Strong interest in combining computational and experimental chemistry. Excellent knowledge