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the forefront of RNA biology, utilizing massively parallel reporters to identify sequence and structural elements that regulate mRNA stability and translation. In this role, the candidate will leverage
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extensive cell tracking studies with massive parallel sequencing and molecular manipulations to gain insights into regulatory mechanisms whose appropriate targeting could impose regenerative traits to mammals
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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amounts to 720 000 SEK in total (360 000 SEK annual average) and is usually paid out as four separate payments during scholarship period. This project is running in parallel with another larger project with
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development, software design, parallel computing, model building, computational chemistry, biomolecular structures. Techniques: GPU computing, image segmentation, molecular dynamics, scanning probe microscopy
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neural differentiation paradigms, patient specific iPSCs, (epi-)-genomic approaches (single cell omics, massively parallel reporter assays) and genome and epigenome editing as well as computational
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in these languages Familiarity with computational techniques of high performance massive parallel computing in Linux Environment e.g., on the basis of the Message Passing Interface (MPI) Ability
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Postdoc (f/m/d) Research Data Management and Data Visualization / Completed university studies (P...
programming skills in Pyhon, Julia or similar and past contributions to research software projects; more programming languages or parallel programming skills are a plus # Good English language skills in a
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in these languages Familiarity with computational techniques of high performance massive parallel computing in Linux Environment e.g., on the basis of the Message Passing Interface (MPI) Ability
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order to expedite the simulation, MagTense is based on a core implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs