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We are seeking a motivated PhD student in computational materials physics, particularly AI-driven studies of nanomagnetism. The PhD student will work within an active research group in materials theory
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-oriented candidates with strong experience in bioinformatics, data analyses for quantitative and population genetics, and genomics. To qualify, you should have a PhD degree in subjects relevant
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research results as well as indirectly, through our PhD graduates and research-based undergraduate studies. To reach our goals, we need motivated and committed staff who are provided with the conditions to
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effectively, through publications in high-impact journals and presentations at leading international conferences Your profile A PhD degree in Electrical Engineering, Computer Science, Telecommunications, or a
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visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and
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modelling (potentially Python), and qualitative research of socio-technical dimensions. You will collaborate with PhD candidates in chemistry, chemical engineering, and industrial economics. We are therefore
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to dynamically adapt inputs, projections, and prediction mechanisms, enhancing the resilience and robustness of transport planning. The PhD student will work collaboratively at KTH, Sweden and DTU, Demark
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integration using AI/ML approaches. Your profile Eligibility requirements MSc or PhD in Bioinformatics, Computational Biology, Systems Biology, Computer Science, Biochemistry related to proteomics and mass
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chemistry and protein NMR spectroscopy. Qualifications: The candidate should hold a PhD or equivalent degree in a relevant field such as biochemistry or molecular biology. The candidate should be self
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degree are met before the (intended) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent. The successful applicant is expected to have: PhD in medical