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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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and empirically oriented, focusing on how political ideas, actors, and conflicts are shaped and mediated through digital platforms. Central themes may include, for example, algorithmic influence
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particular expression with unspecified matrix sizes. When a concrete expression is evaluated at run-time, thus revealing the matrix sizes, an extraction algorithm can identify an optimal evaluation scheme
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-October 2025. During the pre-selection, interviews may also be held on-line. Information For more information about the programme and the doctoral studentship, contact prof. Martin Ebers, martin.ebers
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the position, contact Prof. Eva Särndahl, +46 19 30 3684, e-mail: eva.sarndahl@oru.se , Dr. Andi Alijagic, +46 19 30 2342, e-mail: andi.alijagic@oru.se , or Head of Unit Dr. Wessam Melik, +46 19 30 1307
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position, please contact Assoc. Prof. Karan Mitra (+46) 0910-58 5386, karan.mitra@ltu.se Union representatives: SACO-S Diana Chroneer,(+46 )920-49 2037 diana.chroneer@ltu.se OFR-S Marika Vesterberg, (+46)920
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position, please contact Assoc. Prof. Karan Mitra (+46) 0910- 585386, karan.mitra@ltu.se Union representatives: SACO-S Diana Chroneer,(+46 )920-49 2037 diana.chroneer@ltu.se OFR-S Marika Vesterberg, (+46)920
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comparison. Thus, this project will deliver an evidence-based decision support to forest stakeholders and policy makers. About the position The postdoctoral candidate will join the research group of Prof
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System