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or willingness to learn the radar and/or positioning technologies. Strong programming skills in MATLAB. Python / TensorFlow or C/C++ are a plus but not mandatory Highly committed, excellent team-worker, and strong
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datasets such as the Luxembourg Parkinson’s Study and different prodromal cohorts for neurodegenerative diseases are ready for analysis. The doctoral researcher will: Conduct research that will compose a PhD
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AI agents themselves. The candidate will explore behavioural analysis techniques. Another research questions is related to the definition and application of a unified policy through both legacy IT
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to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the
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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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into cross-seeding between microbiome-borne amyloidogenic proteins and human proteins implicated in neurodegenerative disea Your responsibilities: The doctoral candidate will perform computational analysis
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer Science and Computer Engineering with
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(DNA-Seq, (sc)RNA-Seq, ChIP-Seq) and/or R programming skills will be a plus. • Skills: Curiosity, rigor, perseverance, creativity, excellent time management and sense of priority, willingness to learn
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be a plus. • Skills: Curiosity, rigor, perseverance, creativity, excellent time management and sense of priority, willingness to learn, team player. • Fluent command of English (written and
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events (e.g. in the context of ALICES) Participate in the wider academic community through conference and workshop participation Teach and assist in undergraduate and graduate courses Publish research