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Field
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requirements include successful graduation (MSc level) in one or several of the following disciplines: computer science, mathematics, some natural sciences, environmental informatics, bioinformatics
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possess the following skills and qualifications: Undergraduate degree (Bachelor’s) in mathematics, physics, computer science, or a closely related field. A relevant Master’s degree (e.g., MSc, MPhil
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Engineering, Hydrology, Wastewater/Environmental Engineering, or a closely related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates who submit their MSc thesis
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internationally. There will be the opportunity to participate in ship-based field campaigns and to visit partner institutes in Scandinavia. What do we expect from you? An very good or good MSc degree in Physical
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. Responsibilities and qualifications The nature of this project suggests that you should have a strong interest in the mathematical and theoretical aspects of machine learning. A solid background in mathematics (e.g
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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structured training and supervision of more than 1,500 doctoral candidates in mathematics, natural and life sciences. Working on research projects towards their doctorate, the students are supported in
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relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching activities will include supervision of student projects at different levels (BSc, MSc, PhD). You will engage in
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PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
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a very good MSc degree (or equivalent) in a social and behavioral science discipline (e.g., Psychology, Cognitive Sciences, Decision Sciences) or a computer science discipline (e.g., Computational