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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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Trade Economics. The thesis work will be undertaken at the University of Luxembourg. The suggested theme of the PhD is Quantitative Urban and/or Trade Economics. The candidate is, however, welcome to
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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Applications should include: Curriculum Vitae including a list of publications or manuscripts in preparation (if applicable) and details of MSc training Cover letter Copies of degree certificates and statement of courses and marks (“relevé de notes”) Early application is highly encouraged, as...
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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website: www.uni.lu/snt-en/research-groups/finatrax/ The selected candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS
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Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with expertise in at least one of the above areas (dependability, real-time systems, operating systems
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Experience and skills · Excellent written and oral communication skills e.g., in publications, reports, and/or presentations · Collaborative skills, initiative, result oriented, organisation, and
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electrical engineering Experience and skills · Excellent written and oral communication skills e.g., in publications, reports, and/or presentations · Collaborative skills, initiative, result