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publications relevant for the field of the position Copies of diplomas List and short description of external research funding acquired over the past 5 (five) years List of PhD theses supervised List of teaching
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over the past 5 (five) years List of PhD theses supervised List of teaching activities over the past 5 (five) years, including courses taught Statement of research, teaching and other activities planned
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to and support scientific communication activities (e.g. websites, presentations, posters, press, and general public) Key Skills, Experience and Qualifications Master or PhD in a relevant scientific
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contact Prof. Ralf Seppelt, Your profile You'll be able to demonstrate experiences in management environmental data in different projects, and meet the following qualifications: PhD in Data Science
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profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis
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, or examples, these aspects are of utmost importance and need to be explored to provide convincing and well-grounded arguments [1]. This PhD program will propose to explore advanced methods to detect implicit
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] and taphonomy of animal bones [Cifuentes-Alcobendas and Dom´ınguez-Rodrigo, 2019] are gradually intensifying. Thus, the present PhD project is an opportunity for the development of original ML solutions
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staff, the course schedules, the teaching programme in close contact with the Director of the study, the study program administrator and the project officer Your profile PhD or equivalent degree in
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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
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, or the misinterpretation of some inputs to result in a particular behaviour that is favourable to the attacker. In this thesis, the PhD candidate will first study the impact of decentralizing ML algorithms