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Biological Learning Machine, which is headed by Professor Jan Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and spatial patterns of synergy and
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Cell Diversity Lab at DTU Bioengineering, led by Associate Professor Erwin M. Schoof, an international leader in single-cell proteomics, and collaborate closely with BAM (Bundesanstalt für
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. Starting date is expected to be 1 Febuary 2026, or according to mutual
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supervisor is Professor Lilia Ahrné, lilia@food.ku.dk , and the co-supervisor is Dr Behnaz Razi Parjikolaei (Arla Food Ingredients) The PhD programme A three year full-time study within the framework
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research facilities include modern laboratories and Pilot Plants. Principal supervisor is Professor Lilia Ahrné, lilia@food.ku.dk , and the co-supervisor is Dr Behnaz Razi Parjikolaei (Arla Food Ingredients
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Interest in interdisciplinary and international research Supervision and Collaboration You will be supervised by: Professor Sadasivan Puthusserypady (DTU Health Tech) Associate Professor Silvia Tolu (DTU
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor
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information about the PhD program, please contact PhD coordinator, associate professor Romana Careja, rca@sam.sdu.dk. Application and assessment process An application must include: Application form A project
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advisor will be Professor Otto Anker Nielsen (DTU Management) with Associate Professors Laura Alessandretti (DTU Compute), Jesper Bláfoss Ingvardson (DTU Management) and Guido Cantelmo (DTU Management) as
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Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic Disentanglement of the Exceptional Biological Learning Machine, which is headed by Professor Jan