DRESDEN-concept Career Offers

3D genome archi­tec­ture plays a major role in genome orga­ni­sa­tion, gene regu­la­tion and genome sta­bi­lity. Thus, dere­gu­la­tion of 3D genome archi­tec­ture is also an important mecha­nism con­tri­bu­ting to disease.
To streng­t­hen our diverse team, we are loo­king for a post­doc­to­ral fel­low to study genome archi­tec­ture as part of the DFG prio­rity pro­gram „Spa­tial Genome Archi­tec­ture in Deve­lop­ment and Disease (Genome3)“. We will par­ti­cu­larly focus on the nuclear pore and how it affects gene regu­la­tion and genome sta­bi­lity in neural deve­lop­ment and brain can­cer. The pro­ject is a col­la­bo­ra­tion bet­ween the lab of Tomo­hisa Toda on „Nuclear archi­tec­ture in neural plasti­city and age­ing“ and the com­pu­ta­tio­nal Rese­arch Group of Anna Poe­tsch on „Bio­me­di­cal Geno­mics“ at the Bio­tech­no­logy Cen­ter of the TU Dres­den, where this posi­tion will be based.
The posi­tion will offer an exci­ting col­la­bo­ra­tive inter­di­sci­pli­nary rese­arch pro­ject embed­ded in a pres­ti­gious rese­arch pro­gram. The suc­cess­ful can­di­date will use methods on multi-omics data ana­ly­sis to inves­ti­gate how 3D genome archi­tec­ture in the nuclear pore affects gene regu­la­tion and genome sta­bi­lity with data on genome archi­tec­ture (e.g. HiC, Hi-ChiP, DamID-HiChiP, MicroC), gene regu­la­tion (e.g. ChiP, DamID-ChiP, ATAC-Seq, RNA-seq), DNA damage (AP-Seq, 8-oxoG, END-Seq), germline muta­ti­ons in neu­ro­de­ve­lop­men­tal dis­or­ders, and soma­tic muta­ti­ons in paediatric brain tumours. Thus, the suc­cess­ful can­di­date will have the oppor­tu­nity to receive trai­ning in cut­ting-edge methods in multi-omics data inte­gra­tion and the pos­si­bi­lity to learn and apply machine lear­ning and deep lear­ning methods on geno­mics data.

• excel­lent uni­ver­sity and PhD degree with expe­ri­ence in mole­cu­lar bio­logy, com­pu­ta­tio­nal bio­logy, gene­tics, geno­mics, or equi­va­lent sci­en­ti­fic back­ground with an excel­lent under­stan­ding of genome bio­logy
• Com­pre­hen­sive pro­gramming expe­ri­ence in python and/or R.
• Demons­tra­ble expe­ri­ence in multi-omics data ana­ly­sis.
• Very good inter­per­so­nal and com­mu­ni­ca­tion skills; in par­ti­cu­lar, the abi­lity to effec­tively work in a diverse, col­la­bo­ra­tive and inter­di­sci­pli­nary rese­arch envi­ron­ment.
• Flu­ency in Eng­lish - writ­ten and oral. (Ger­man is not requi­red).

The BIO­TEC/CMCB is a renow­ned inter­di­sci­pli­nary and inter­na­tio­nal rese­arch insti­tute of the TU Dres­den that boasts a col­la­bo­ra­tive spi­rit and cut­ting-edge tech­no­logy plat­forms, inclu­ding one of the natio­nal genome cen­tres and cut­ting-edge High Per­for­mance Com­pu­ting resour­ces. The city of Dres­den and the DFG focus pro­gram (Genome3) pro­vide nume­rous oppor­tu­nities for sci­en­ti­fic exchange and col­la­bo­ra­tion.

TUD stri­ves to employ more women in aca­de­mia and rese­arch. We the­re­fore expressly encou­rage women to apply. The Uni­ver­sity is a cer­ti­fied family-fri­endly uni­ver­sity and offers a Dual Career Ser­vice. We wel­come app­li­ca­ti­ons from can­di­da­tes with disa­bi­li­ties. If mul­ti­ple can­di­da­tes prove to be equally qua­li­fied, those with disa­bi­li­ties or with equi­va­lent sta­tus pur­suant to the Ger­man Social Code IX (SGB IX) will receive prio­rity for employ­ment.
Please sub­mit your com­pre­hen­sive app­li­ca­tion inclu­ding the usual docu­ments, inclu­ding a let­ter of moti­va­tion, your CV inclu­ding a list of publi­ca­ti­ons, tran­scripts of records, and con­tact details for 2-3 aca­de­mic refe­ren­ces, by April 28, 2023 stam­ped arri­val date of the uni­ver­sity cen­tral mail ser­vice app­lies) pre­fer­a­bly via the TU Dres­den Secu­re­Mail Por­tal https://securemail.tu-dresden.de by sen­ding it as a sin­gle pdf docu­ment to sabine.zeissig@tu-dresden.de, alter­na­tively via mail to: TU Dres­den, BIO­TEC, For­schungs­gruppe Bio­me­di­zi­ni­sche Geno­mik, Frau Dr. Anna Poe­tsch, Helm­holtz­str. 10, 01069 Dres­den, Ger­many. Please sub­mit copies only, as your app­li­ca­tion will not be retur­ned to you. Expen­ses incur­red in atten­ding inter­views can­not be reim­bur­sed.

Refe­rence to data pro­tec­tion: Your data pro­tec­tion rights, the pur­pose for which your data will be pro­ces­sed, as well as fur­ther infor­ma­tion about data pro­tec­tion is avail­able to you on the web­site: https://tu-dresden.de/karriere/datenschutzhinweis.