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have completed a PhD (submitted and defended) by the application deadline. Artists who hold a doctorate and have experience in academic collaboration are also encouraged to apply for an academic
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, computer science, or related fields. The applicant should have a strong interest and prior experience in developing and applying machine learning methods to problems in the life sciences. Experience with
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Interaction, Data Science, Cognitive Science, Psychology, Empirical Educational Research, Learning Sciences, or a related discipline. Demonstrated experience with machine learning, learning analytics
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applicant will hold a Ph.D. in computer science, machine learning, bioinformatics, or related fields. The applicant should have a strong interest and prior experience in developing machine learning methods
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practical work experience or students from abroad who are studying, researching or doing an internship in Germany can apply. Internships cannot be undertaken in a commercial organisation/industry. Candidates
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data science with fundamental or applied studies with relevance to the crop science industry. Students from Germany who are going abroad for a study or research project or practical work experience or
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(or equivalent) has been awarded more than 5 years ago and who have already gained substantial professional experience in academia and research. Junior fellowships are available for early career researchers whose
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). On the German side, preference is given to researchers who have at least 4 years of experience at a German educational or research institution. Number of Scholarships 10 Duration The duration of the fellowship