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learn new techniques and work across disciplines is essential, as is a focus on mechanistic understanding, reaction kinetics, and analytical methods. Candidates should have very good English communication
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interface of machine learning, deep learning, data science and applications in forest sciences. Together with the Director, you will further develop KIForst as a faculty-wide platform for methodological
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project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a Courageous
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29009 Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m
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for a Professorship (W2) (5 years/tenure track) of Statistical and Machine Learning in the Life Sciences, combined with the lead of a research group Computational Statistics & Dynamical Systems for Life
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 18 hours ago
. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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of the university’s existing courses are therefore expected. Experience with innovative teaching concepts as well as research-based teaching and learning is an asset. A willingness to pursue continuing education in
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. Experience with innovative teaching concepts as well as research-based teaching and learning is an asset. A willingness to pursue continuing education in university teaching is required. We are searching
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development of the university’s existing courses are therefore expected. Experience with innovative teaching concepts as well as research-based teaching and learning is an asset. A willingness to pursue
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. Projects LEAPS TECH (GA No: 101262866) and PRIMEARI (GA No: 101291154) Where to apply Website https://xfel.hr4you.org/application/applicantRegisterCvAnalyzerGenerator/upload… Requirements Research