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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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Spohn, Simone Warzel and Michael Wolf See our website for further details: www.trr352.de Application Process: Please first contact one of our PIs in your field of expertise to obtain their commitment and
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, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion, or age. Disabled persons will be preferentially considered in case of equal qualification. Presentation costs
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`s degree in physics, chemistry, materials science, chemical engineering, or related disciplines Extensive knowledge of X-ray methods Knowledge of X-ray reflectivity Experience with vacuum chambers
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a
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travel to present at scientific conferences and strengthen inter-lab cooperations Your Profile: University degree (Master) in computer science, physics or a comparable scientific field PhD in one
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. Qualified disabled applicants will receive preference in the application process. Please send your application (certificates, curriculum vitae, letter of motivation, list of publications, two letters
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to publications, presentations, and open-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong
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§ 11 Abs. 1 Sächsisches Datenschutzdurchführungsgesetz i. V. m. EU-Datenschutz-Grundverordnung (DS-GVO). The person responsible for the application process is the addressee of the application stated
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opportunities Requirements: Ph.D. in Biology, Physics, Computer Science, or a related field with prior expertise in: Genomics, population genetics, and evolutionary biology Sequence alignment and next-generation