57 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Mathjobs" PhD positions in Denmark
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc Position in Neuro-morphic Reinforcement Learning
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We are seeking a postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data
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position will be affiliated with either the research group It and Learning Design ( https://www.ikk.aau.dk/forskning/forskningsgrupper/l-ild and https://www.ikk.aau.dk/forskning/forskningsgrupper/kild
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One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Apply Vacant position One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Aalborg Deadline
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. For non-Scandinavian candidates, a commitment to learning Danish, including reading, writing, and speaking, is expected during the employment period. Contact Further information on the position may be
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start date 1 February, 2027. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject descriptions and links to
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desuden søges oplysninger om ph.d.-uddannelsen hos ph.d.-koordinator Thomas Neumann, [email protected] . Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Det
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topics: Development of deep learning models Mathematical foundations of machine learning Optimal deployment of AI systems The candidate is expected to hold a relevant MSc degree in Computer Science
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research results effectively. The ability to work independently as well as collaboratively in a research environment. For non-Scandinavian candidates, a commitment to learning Danish, including reading
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Thomas Neumann, [email protected] for nærmere information. Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Ved bedømmelse af ansøgere lægges særlig vægt på